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VRAM exhaustion during SDXL inference on 8GB AMD GPU (Vulkan backend) causes fragmented VAE processing #761

Description

@magictext

When running SDXL models using Vulkan backend on an AMD Radeon RX 6600 (8GB VRAM), the UNET computation exhausts nearly all available VRAM. This forces subsequent VAE decoding to operate in fragmented slices.

Optimization Suggestions:

Model Swapping with Caching
During batch image generation:

  • Cache intermediate latent tensors after UNET computation

  • Completely unload the UNET model from VRAM

  • Load VAE model once and process all cached latents collectively

Asynchronous CPU Offloading
Implement pipelining where:

  • GPU processes UNET for image N+1

  • CPU simultaneously decodes VAE for image N (using cached latents)

These approaches could significantly reduce VRAM pressure and potentially improve throughput on GPUs with limited memory.

Activity

  1. stduhpf commented on Aug 8, 2025

    @stduhpf
    Contributor

    Are you running sd.cpp as a library or from the cli? Because with the cli it should by default free all the unet-related buffers before the VAE decoding stage.

  2. magictext commented on Aug 8, 2025

    @magictext
    Author

    YES
    I use the sd.cpp from cli
    if I generate image without ---vae-tiling it will

    [DEBUG] ggml_extend.hpp:1173 - clip compute buffer size: 1.40 MB(VRAM)
    [DEBUG] ggml_extend.hpp:1173 - clip compute buffer size: 2.33 MB(VRAM)
    [DEBUG] ggml_extend.hpp:1173 - clip compute buffer size: 2.33 MB(VRAM)
    [DEBUG] conditioner.hpp:486  - computing condition graph completed, taking 179 ms
    [DEBUG] ggml_extend.hpp:1173 - clip compute buffer size: 1.40 MB(VRAM)
    [DEBUG] ggml_extend.hpp:1173 - clip compute buffer size: 2.33 MB(VRAM)
    [DEBUG] conditioner.hpp:486  - computing condition graph completed, taking 267 ms
    [DEBUG] conditioner.hpp:358  - parse '' to [['', 1], ]
    [DEBUG] clip.hpp:311  - token length: 77
    [DEBUG] ggml_extend.hpp:1173 - clip compute buffer size: 1.40 MB(VRAM)
    [DEBUG] ggml_extend.hpp:1173 - clip compute buffer size: 2.33 MB(VRAM)
    [DEBUG] ggml_extend.hpp:1173 - clip compute buffer size: 2.33 MB(VRAM)
    [DEBUG] conditioner.hpp:486  - computing condition graph completed, taking 161 ms
    [INFO ] stable-diffusion.cpp:1696 - get_learned_condition completed, taking 443 ms
    [INFO ] stable-diffusion.cpp:1719 - sampling using Euler A method
    [INFO ] stable-diffusion.cpp:1768 - generating image: 1/1 - seed 8038
    [DEBUG] stable-diffusion.cpp:865  - Sample
    [DEBUG] ggml_extend.hpp:1173 - unet compute buffer size: 858.29 MB(VRAM)
      |==================================================| 20/20 - 4.52s/it
    [INFO ] stable-diffusion.cpp:1806 - sampling completed, taking 91.29s
    [INFO ] stable-diffusion.cpp:1814 - generating 1 latent images completed, taking 91.33s
    [INFO ] stable-diffusion.cpp:1817 - decoding 1 latents
    ggml_vulkan: Device memory allocation of size 6870269952 failed.
    ggml_vulkan: Requested buffer size exceeds device memory allocation limit: ErrorOutOfDeviceMemory
    ggml_gallocr_reserve_n: failed to allocate Vulkan0 buffer of size 6870269952
    [ERROR] ggml_extend.hpp:1163 - vae: failed to allocate the compute buffer
    

    the image size is 896 x1152
    when compute unet ,the vram is used about 6.4g

  3. wbruna commented on Aug 8, 2025

    @wbruna
    Contributor

    Those ~6.9 G are just for the VAE operation. Most (all?) Vulkan backends have limits on how large a single allocation can get, regardless of the total VRAM (that "device memory allocation limit"); and, unfortunately, the non-tiled VAE code allocates a single buffer.

    VAE tiling is the usual solution for that, but you could also try the new --vae-conv-direct option.

  4. magictext commented on Aug 8, 2025

    @magictext
    Author

    After adding the --vae-conv-direct option, the situation remained unchanged.
    when use --vae-tiling the log is

    [INFO ] stable-diffusion.cpp:1806 - sampling completed, taking 95.10s
    [INFO ] stable-diffusion.cpp:1814 - generating 1 latent images completed, taking 95.17s
    [INFO ] stable-diffusion.cpp:1817 - decoding 1 latents
    [DEBUG] ggml_extend.hpp:625  - tile work buffer size: 0.77 MB
    [DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
    [INFO ] ggml_extend.hpp:639  - processing 63 tiles
      |>                                                 | 1/63 - 0.00it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |>                                                 | 1/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |=>                                                | 2/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |==>                                               | 3/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |===>                                              | 4/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |===>                                              | 5/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |====>                                             | 6/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |=====>                                            | 7/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |======>                                           | 8/63 - 1.11it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |=======>                                          | 9/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |=======>                                          | 10/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |========>                                         | 11/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |=========>                                        | 12/63 - 1.08it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |==========>                                       | 13/63 - 1.08it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |===========>                                      | 14/63 - 1.11it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |===========>                                      | 15/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |============>                                     | 16/63 - 1.07it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |=============>                                    | 17/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |==============>                                   | 18/63 - 1.07it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |===============>                                  | 19/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |===============>                                  | 20/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |================>                                 | 21/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |=================>                                | 22/63 - 1.08it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |==================>                               | 23/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |===================>                              | 24/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |===================>                              | 25/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |====================>                             | 26/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |=====================>                            | 27/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |======================>                           | 28/63 - 1.08it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |=======================>                          | 29/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |=======================>                          | 30/63 - 1.07it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |========================>                         | 31/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |=========================>                        | 32/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |==========================>                       | 33/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |==========================>                       | 34/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |===========================>                      | 35/63 - 1.08it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |============================>                     | 36/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |=============================>                    | 37/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |==============================>                   | 38/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |==============================>                   | 39/63 - 1.06it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |===============================>                  | 40/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |================================>                 | 41/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |=================================>                | 42/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |==================================>               | 43/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |==================================>               | 44/63 - 1.10it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |===================================>              | 45/63 - 1.11it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |====================================>             | 46/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |=====================================>            | 47/63 - 1.09it/s[DEBUG] ggml_extend.hpp:1173 - vae compute buffer size: 416.00 MB(VRAM)
      |==================================================| 63/63 - 1.09it/s
    [DEBUG] stable-diffusion.cpp:1182 - computing vae [mode: DECODE] graph completed, taking 44.92s
    [INFO ] stable-diffusion.cpp:1827 - latent 1 decoded, taking 44.92s
    [INFO ] stable-diffusion.cpp:1831 - decode_first_stage completed, taking 44.92s
    [INFO ] stable-diffusion.cpp:2088 - generate_image completed in 140.53s
    

    is this right?
    And when use pytorch version stable-diffusion(use zluda and hip), it can run for the 2.5it/s,But sometimes it runs out of memory(16g) when handle vae,I found that sd.cpp consumes less memory, and will the sd.cpp support ZLuda in the future?

  5. stduhpf commented on Aug 8, 2025

    @stduhpf
    Contributor

    And when use pytorch version stable-diffusion(use zluda and hip), it can run for the 2.5it/s,But sometimes it runs out of memory(16g) when handle vae,I found that sd.cpp consumes less memory, and will the sd.cpp support ZLuda in the future?

    Actually stable-diffusion.cpp already supports HIP/ROCm, though it's not provided in the official releases and it's not very straight forward to build it (see #194 (comment) if you want instructions on how to build it for Windows). It's pretty fast compared to Vulkan and doesn't have the same issue of the VAE taking way too much VRAM.

    I don't think Zluda support is planned though. If somehow llama.cpp ends up supporting Zluda, this will probably support it too, but I think it's unlikely to happen.

    After adding the --vae-conv-direct option, the situation remained unchanged.

    That's odd, are you using the lastest version of stable-diffusion.cpp?

  6. magictext commented on Aug 8, 2025

    @magictext
    Author

    yes,I download and use this release

  7. wbruna commented on Aug 8, 2025

    @wbruna
    Contributor

    After adding the --vae-conv-direct option, the situation remained unchanged.

    Does it report the same failed buffer allocation, with the same value? On Vulkan, it should use far less memory (see the table on #744 ; for 896 x1152, I'd expect more or less the same memory usage as 1024x1024).

  8. magictext commented on Aug 8, 2025

    @magictext
    Author

    year,here is the full logs

    
    PS D:\Downloads\sd-master-f7f05fb-bin-win-vulkan-x64> ./sd.exe --diffusion-fa --vae-conv-direct -W 896 -H 1152 -m MODEL_PATH  --lora-model-dir LORA_PATH -p "masterpiece,best quality"  -s -1 -v
    Option: 
        n_threads:         6
        mode:              img_gen
        model_path:        D:\sd-webui-forge-aki-v1.0\models\Stable-diffusion\Illustrious.safetensors
        wtype:             unspecified
        clip_l_path:
        clip_g_path:
        t5xxl_path:
        diffusion_model_path:
        vae_path:
        taesd_path:
        esrgan_path:
        control_net_path:
        embedding_dir:
        stacked_id_embed_dir:
        input_id_images_path:
        style ratio:       20.00
        normalize input image :  false
        output_path:       output.png
        init_img:
        mask_img:
        control_image:
        ref_images_paths:
        clip on cpu:       false
        controlnet cpu:    false
        vae decoder on cpu:false
        diffusion flash attention:true
        strength(control): 0.90
        prompt:            masterpiece,best quality,1girl,full body
        negative_prompt:
        min_cfg:           1.00
        cfg_scale:         7.00
        img_cfg_scale:     7.00
        slg_scale:         0.00
        guidance:          3.50
        eta:               0.00
        clip_skip:         -1
        width:             896
        height:            1152
        sample_method:     euler_a
        schedule:          default
        sample_steps:      20
        strength(img2img): 0.75
        rng:               cuda
        seed:              29545
        batch_count:       1
        vae_tiling:        false
        upscale_repeats:   1
        chroma_use_dit_mask:   true
        chroma_use_t5_mask:    false
        chroma_t5_mask_pad:    1
    System Info:
        SSE3 = 1
        AVX = 1
        AVX2 = 1
        AVX512 = 0
        AVX512_VBMI = 0
        AVX512_VNNI = 0
        FMA = 1
        NEON = 0
        ARM_FMA = 0
        F16C = 1
        FP16_VA = 0
        WASM_SIMD = 0
        VSX = 0
    [DEBUG] stable-diffusion.cpp:145  - Using Vulkan backend
    ggml_vulkan: Found 1 Vulkan devices:
    ggml_vulkan: 0 = AMD Radeon RX 6600 (AMD proprietary driver) | uma: 0 | fp16: 1 | bf16: 0 | warp size: 32 | shared memory: 32768 | int dot: 0 | matrix cores: none
    [INFO ] stable-diffusion.cpp:192  - loading model from 'D:\sd-webui-forge-aki-v1.0\models\Stable-diffusion\Illustrious.safetensors'
    [INFO ] model.cpp:1013 - load D:\sd-webui-forge-aki-v1.0\models\Stable-diffusion\Illustrious.safetensors using safetensors format
    [DEBUG] model.cpp:1088 - init from 'D:\sd-webui-forge-aki-v1.0\models\Stable-diffusion\Illustrious.safetensors'
    [INFO ] stable-diffusion.cpp:243  - Version: SDXL
    [INFO ] stable-diffusion.cpp:277  - Weight type:                 f16
    [INFO ] stable-diffusion.cpp:278  - Conditioner weight type:     f16
    [INFO ] stable-diffusion.cpp:279  - Diffusion model weight type: f16
    [INFO ] stable-diffusion.cpp:280  - VAE weight type:             f32
    [DEBUG] stable-diffusion.cpp:282  - ggml tensor size = 400 bytes
    [WARN ] stable-diffusion.cpp:291  - !!!It looks like you are using SDXL model. If you find that the generated images are completely black, try specifying SDXL VAE FP16 Fix with the --vae parameter. You can find it here: https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/blob/main/sdxl_vae.safetensors
    [INFO ] stable-diffusion.cpp:330  - Using flash attention in the diffusion model
    [DEBUG] clip.hpp:171  - vocab size: 49408
    [DEBUG] clip.hpp:182  -  trigger word img already in vocab
    [DEBUG] ggml_extend.hpp:1222 - clip params backend buffer size =  307.44 MB(VRAM) (196 tensors)
    [DEBUG] ggml_extend.hpp:1222 - clip params backend buffer size =  1449.92 MB(VRAM) (517 tensors)
    [DEBUG] ggml_extend.hpp:1222 - unet params backend buffer size =  4900.07 MB(VRAM) (1680 tensors)
    [DEBUG] ggml_extend.hpp:1222 - vae params backend buffer size =  94.47 MB(VRAM) (140 tensors)
    [DEBUG] stable-diffusion.cpp:459  - loading weights
    [DEBUG] model.cpp:1891 - loading tensors from D:\sd-webui-forge-aki-v1.0\models\Stable-diffusion\Illustrious.safetensors
      |==================================================| 2641/2641 - 200.00it/s
    [INFO ] stable-diffusion.cpp:558  - total params memory size = 6751.89MB (VRAM 6751.89MB, RAM 0.00MB): clip 1757.36MB(VRAM), unet 4900.07MB(VRAM), vae 94.47MB(VRAM), controlnet 0.00MB(VRAM), pmid 0.00MB(VRAM)
    [INFO ] stable-diffusion.cpp:562  - loading model from 'D:\sd-webui-forge-aki-v1.0\models\Stable-diffusion\Illustrious.safetensors' completed, taking 11.72s
    [INFO ] stable-diffusion.cpp:604  - running in eps-prediction mode
    [DEBUG] stable-diffusion.cpp:648  - finished loaded file
    [DEBUG] stable-diffusion.cpp:1887 - generate_image 896x1152
    [INFO ] stable-diffusion.cpp:2017 - TXT2IMG
    [DEBUG] stable-diffusion.cpp:1557 - prompt after extract and remove lora: "masterpiece,best quality,1girl,full body"
    [INFO ] stable-diffusion.cpp:738  - Attempting to apply 0 LoRAs
    [INFO ] stable-diffusion.cpp:1562 - apply_loras completed, taking 0.00s
    [DEBUG] conditioner.hpp:358  - parse 'masterpiece,best quality,1girl,full body' to [['masterpiece,best quality,1girl,full body', 1], ]
    [DEBUG] clip.hpp:311  - token length: 77
    [DEBUG] ggml_extend.hpp:1173 - clip compute buffer size: 1.40 MB(VRAM)
    [DEBUG] ggml_extend.hpp:1173 - clip compute buffer size: 2.33 MB(VRAM)
    [DEBUG] ggml_extend.hpp:1173 - clip compute buffer size: 2.33 MB(VRAM)
    [DEBUG] conditioner.hpp:486  - computing condition graph completed, taking 168 ms
    [DEBUG] conditioner.hpp:358  - parse '' to [['', 1], ]
    [DEBUG] clip.hpp:311  - token length: 77
    [DEBUG] ggml_extend.hpp:1173 - clip compute buffer size: 1.40 MB(VRAM)
    [DEBUG] ggml_extend.hpp:1173 - clip compute buffer size: 2.33 MB(VRAM)
    [DEBUG] ggml_extend.hpp:1173 - clip compute buffer size: 2.33 MB(VRAM)
    [DEBUG] conditioner.hpp:486  - computing condition graph completed, taking 161 ms
    [INFO ] stable-diffusion.cpp:1696 - get_learned_condition completed, taking 334 ms
    [INFO ] stable-diffusion.cpp:1719 - sampling using Euler A method
    [INFO ] stable-diffusion.cpp:1768 - generating image: 1/1 - seed 29545
    [DEBUG] stable-diffusion.cpp:865  - Sample
    [DEBUG] ggml_extend.hpp:1173 - unet compute buffer size: 759.93 MB(VRAM)
      |==================================================| 20/20 - 4.77s/it
    [INFO ] stable-diffusion.cpp:1806 - sampling completed, taking 100.23s
    [INFO ] stable-diffusion.cpp:1814 - generating 1 latent images completed, taking 100.29s
    [INFO ] stable-diffusion.cpp:1817 - decoding 1 latents
    ggml_vulkan: Device memory allocation of size 6870269952 failed.
    ggml_vulkan: Requested buffer size exceeds device memory allocation limit: ErrorOutOfDeviceMemory
    ggml_gallocr_reserve_n: failed to allocate Vulkan0 buffer of size 6870269952
    [ERROR] ggml_extend.hpp:1163 - vae: failed to allocate the compute buffer
    
    PS D:\Downloads\sd-master-f7f05fb-bin-win-vulkan-x64> 
    
    
  9. stduhpf commented on Aug 8, 2025

    @stduhpf
    Contributor

    That's odd, it looks like --vae-conv-direct has no effect at all on your system. (or on the ci build maybe?)

    By the way, @daniandtheweb looks like you forgot to add the values for conv direct options to the print_params() function in the cli.

  10. stduhpf commented on Aug 8, 2025

    @stduhpf
    Contributor

    OK I can reproduce the ineffectiveness of the --vae-conv-direct, but only with the Vulkan build from the official releases. My local build on master branch does support the flag properly. That's very strange.

  11. Green-Sky commented on Aug 8, 2025

    @Green-Sky
    Contributor

    That's very strange.

    It is not, because it is not the latest build. Github does not sort releases within a day, they appear to be random, or have some internal ordering.

  12. stduhpf commented on Aug 8, 2025

    @stduhpf
    Contributor

    Oh I've never noticed that

  13. Green-Sky commented on Aug 8, 2025

    @Green-Sky
    Contributor

    I guess we should warn or error on unknown params.

  14. stduhpf commented on Aug 8, 2025

    @stduhpf
    Contributor

    It used to do that. I guess the recent refactor got rid of it by accident?

  15. stduhpf commented on Aug 8, 2025

    @stduhpf
    Contributor

    anyways @magictext, please try again with this release: sd-master-5b8996f-bin-win-vulkan-x64.zip

  16. daniandtheweb commented on Aug 8, 2025

    @daniandtheweb
    Contributor

    @stduhpf I guess the ping was about the incorrect build? I did add the flags to the print_params() function, they're right after the flash-attention flag.

  17. stduhpf commented on Aug 8, 2025

    @stduhpf
    Contributor

    @stduhpf I guess the ping was about the incorrect build? I did add the flags to the print_params() function, they're right after the flash-attention flag.

    Ah right, sorry. I didn't check the code. I trusted it was the lastest release and assumed it was missing.

  18. daniandtheweb commented on Aug 8, 2025

    @daniandtheweb
    Contributor

    Ah right, sorry. I didn't check the code. I trusted it was the lastest release and assumed it was missing.

    This actually seems like a big problem, especially for new and inexperienced users that find the program. I've almost never touched a github ci but maybe there's a way for the releases to be published in the right order.

  19. Green-Sky commented on Aug 8, 2025

    @Green-Sky
    Contributor

    Ah right, sorry. I didn't check the code. I trusted it was the lastest release and assumed it was missing.

    This actually seems like a big problem, especially for new and inexperienced users that find the program. I've almost never touched a github ci but maybe there's a way for the releases to be published in the right order.

    Sequential numbers seem to do the trick. llama.cpp switched to git tree height, and it works there.

    I can confirm that the non-time based ordering is causing issues for a project of mine regularly.

  20. magictext commented on Aug 9, 2025

    @magictext
    Author

    It works. but it failed too...

    [INFO ] stable-diffusion.cpp:1822 - sampling completed, taking 91.77s
    [INFO ] stable-diffusion.cpp:1830 - generating 1 latent images completed, taking 91.82s
    [INFO ] stable-diffusion.cpp:1833 - decoding 1 latents
    ggml_vulkan: Device memory allocation of size 2642411520 failed.
    ggml_vulkan: Requested buffer size exceeds device memory allocation limit: ErrorOutOfDeviceMemory
    ggml_gallocr_reserve_n: failed to allocate Vulkan0 buffer of size 2642411520
    [ERROR] ggml_extend.hpp:1182 - vae: failed to allocate the compute buffer
    
  21. magictext commented on Aug 9, 2025

    @magictext
    Author

    While reviewing past release records, I found that versions supporting ROCm were available in the past. Why are they no longer supported now? I have HIP 5.7 installed on my system. Can I use past release versions?

  22. stduhpf commented on Aug 9, 2025

    @stduhpf
    Contributor

    While reviewing past release records, I found that versions supporting ROCm were available in the past. Why are they no longer supported now? I have HIP 5.7 installed on my system. Can I use past release versions?

    You could use past releases, but you'd be missing out on a lot of newer features and bug fixes. ROCm build isn't working anymore in github action for some reason, but it's possible to build it from sources.

    ggml_gallocr_reserve_n: failed to allocate Vulkan0 buffer of size 2642411520

    That's better, now I think typing $env:GGML_VK_FORCE_MAX_ALLOCATION_SIZE=4294967295 in your terminal before launching sd.exe would make it work. Most GPU drivers actually support up to 4GB (max value for uint) buffers, even though AMD drivers claim they support up to 2GB (max value for int).

  23. magictext commented on Aug 9, 2025

    @magictext
    Author

    it works!!
    now it can run without tiled

    [DEBUG] ggml_extend.hpp:1192 - vae compute buffer size: 2520.00 MB(VRAM)
    [DEBUG] stable-diffusion.cpp:1198 - computing vae [mode: DECODE] graph completed, taking 3.90s
    [INFO ] stable-diffusion.cpp:1843 - latent 1 decoded, taking 3.90s
    [INFO ] stable-diffusion.cpp:1847 - decode_first_stage completed, taking 3.90s
    [INFO ] stable-diffusion.cpp:2104 - generate_image completed in 95.66s
    save result PNG image to 'output.png'
    

    it tooks 4s,and before this is 44.92s! Thanks for your help!

    for build sd.cpp from source code,because I am not familiar with C++, it might be a bit difficult, but I will give it a try.

  24. magictext commented on Aug 9, 2025

    @magictext
    Author

    when run cmake --build . --config Release
    it return

    PS D:\stable-diffusion.cpp\build> cmake --build . --config Release
    [2/125] Building CXX object ggml/src/CMakeFiles/ggml-base.dir/ggml.cpp.obj
    FAILED: ggml/src/CMakeFiles/ggml-base.dir/ggml.cpp.obj
    C:\PROGRA~1\AMD\ROCm\5.7\bin\CLANG_~1.EXE -DGGML_COMMIT=\"7dee1d6a\" -DGGML_MAX_NAME=128 -DGGML_SCHED_MAX_COPIES=4 -DGGML_VERSION=\"0.0.2404\" -DSD_USE_CUDA -D_CRT_SECURE_NO_WARNINGS -D_XOPEN_SOURCE=600 -ID:/stable-diffusion.cpp/ggml/src/. -ID:/stable-diffusion.cpp/ggml/src/../include -O3 -DNDEBUG -D_DLL -D_MT -Xclang --dependent-lib=msvcrt -std=gnu++17 -Wmissing-declarations -Wmissing-noreturn -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wunreachable-code-break -Wunreachable-code-return -Wmissing-prototypes -Wextra-semi -MD -MT ggml/src/CMakeFiles/ggml-base.dir/ggml.cpp.obj -MF ggml\src\CMakeFiles\ggml-base.dir\ggml.cpp.obj.d -o ggml/src/CMakeFiles/ggml-base.dir/ggml.cpp.obj -c D:/stable-diffusion.cpp/ggml/src/ggml.cpp
    In file included from D:/stable-diffusion.cpp/ggml/src/ggml.cpp:1:
    In file included from D:/stable-diffusion.cpp/ggml/src/./ggml-impl.h:549:
    In file included from C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\initializer_list:8:
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:908:1: error: static assertion failed: error STL1000: Unexpected compiler version, expected Clang 19.0.0 or newer.
    _EMIT_STL_ERROR(STL1000, "Unexpected compiler version, expected Clang 19.0.0 or newer.");
    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:534:44: note: expanded from macro '_EMIT_STL_ERROR'
    #define _EMIT_STL_ERROR(NUMBER, MESSAGE)   static_assert(false, "error " #NUMBER ": " MESSAGE)
                                               ^             ~~~~~
    1 error generated.
    [3/125] Building CXX object ggml/src/CMakeFiles/ggml-base.dir/ggml-threading.cpp.obj
    FAILED: ggml/src/CMakeFiles/ggml-base.dir/ggml-threading.cpp.obj
    C:\PROGRA~1\AMD\ROCm\5.7\bin\CLANG_~1.EXE -DGGML_COMMIT=\"7dee1d6a\" -DGGML_MAX_NAME=128 -DGGML_SCHED_MAX_COPIES=4 -DGGML_VERSION=\"0.0.2404\" -DSD_USE_CUDA -D_CRT_SECURE_NO_WARNINGS -D_XOPEN_SOURCE=600 -ID:/stable-diffusion.cpp/ggml/src/. -ID:/stable-diffusion.cpp/ggml/src/../include -O3 -DNDEBUG -D_DLL -D_MT -Xclang --dependent-lib=msvcrt -std=gnu++17 -Wmissing-declarations -Wmissing-noreturn -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wunreachable-code-break -Wunreachable-code-return -Wmissing-prototypes -Wextra-semi -MD -MT ggml/src/CMakeFiles/ggml-base.dir/ggml-threading.cpp.obj -MF ggml\src\CMakeFiles\ggml-base.dir\ggml-threading.cpp.obj.d -o ggml/src/CMakeFiles/ggml-base.dir/ggml-threading.cpp.obj -c D:/stable-diffusion.cpp/ggml/src/ggml-threading.cpp
    In file included from D:/stable-diffusion.cpp/ggml/src/ggml-threading.cpp:2:
    In file included from C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\mutex:8:
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:908:1: error: static assertion failed: error STL1000: Unexpected compiler version, expected Clang 19.0.0 or newer.
    _EMIT_STL_ERROR(STL1000, "Unexpected compiler version, expected Clang 19.0.0 or newer.");
    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:534:44: note: expanded from macro '_EMIT_STL_ERROR'
    #define _EMIT_STL_ERROR(NUMBER, MESSAGE)   static_assert(false, "error " #NUMBER ": " MESSAGE)
                                               ^             ~~~~~
    1 error generated.
    [4/125] Building CXX object ggml/src/CMakeFiles/ggml-base.dir/ggml-backend.cpp.obj
    FAILED: ggml/src/CMakeFiles/ggml-base.dir/ggml-backend.cpp.obj
    C:\PROGRA~1\AMD\ROCm\5.7\bin\CLANG_~1.EXE -DGGML_COMMIT=\"7dee1d6a\" -DGGML_MAX_NAME=128 -DGGML_SCHED_MAX_COPIES=4 -DGGML_VERSION=\"0.0.2404\" -DSD_USE_CUDA -D_CRT_SECURE_NO_WARNINGS -D_XOPEN_SOURCE=600 -ID:/stable-diffusion.cpp/ggml/src/. -ID:/stable-diffusion.cpp/ggml/src/../include -O3 -DNDEBUG -D_DLL -D_MT -Xclang --dependent-lib=msvcrt -std=gnu++17 -Wmissing-declarations -Wmissing-noreturn -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wunreachable-code-break -Wunreachable-code-return -Wmissing-prototypes -Wextra-semi -MD -MT ggml/src/CMakeFiles/ggml-base.dir/ggml-backend.cpp.obj -MF ggml\src\CMakeFiles\ggml-base.dir\ggml-backend.cpp.obj.d -o ggml/src/CMakeFiles/ggml-base.dir/ggml-backend.cpp.obj -c D:/stable-diffusion.cpp/ggml/src/ggml-backend.cpp
    In file included from D:/stable-diffusion.cpp/ggml/src/ggml-backend.cpp:14:
    In file included from D:/stable-diffusion.cpp/ggml/src/./ggml-impl.h:549:
    In file included from C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\initializer_list:8:
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:908:1: error: static assertion failed: error STL1000: Unexpected compiler version, expected Clang 19.0.0 or newer.
    _EMIT_STL_ERROR(STL1000, "Unexpected compiler version, expected Clang 19.0.0 or newer.");
    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:534:44: note: expanded from macro '_EMIT_STL_ERROR'
    #define _EMIT_STL_ERROR(NUMBER, MESSAGE)   static_assert(false, "error " #NUMBER ": " MESSAGE)
                                               ^             ~~~~~
    1 error generated.
    [5/125] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/repack.cpp.obj
    FAILED: ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/repack.cpp.obj
    C:\PROGRA~1\AMD\ROCm\5.7\bin\CLANG_~1.EXE -DGGML_MAX_NAME=128 -DGGML_SCHED_MAX_COPIES=4 -DGGML_USE_CPU_REPACK -DSD_USE_CUDA -D_CRT_SECURE_NO_WARNINGS -D_XOPEN_SOURCE=600 -ID:/stable-diffusion.cpp/ggml/src/.. -ID:/stable-diffusion.cpp/ggml/src/. -ID:/stable-diffusion.cpp/ggml/src/ggml-cpu -ID:/stable-diffusion.cpp/ggml/src/../include -O3 -DNDEBUG -D_DLL -D_MT -Xclang --dependent-lib=msvcrt -std=gnu++17 -Wmissing-declarations -Wmissing-noreturn -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wunreachable-code-break -Wunreachable-code-return -Wmissing-prototypes -Wextra-semi -march=native -MD -MT ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/repack.cpp.obj -MF ggml\src\CMakeFiles\ggml-cpu.dir\ggml-cpu\repack.cpp.obj.d -o ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/repack.cpp.obj -c D:/stable-diffusion.cpp/ggml/src/ggml-cpu/repack.cpp
    In file included from D:/stable-diffusion.cpp/ggml/src/ggml-cpu/repack.cpp:3:
    In file included from D:/stable-diffusion.cpp/ggml/src/.\ggml-common.h:14:
    In file included from C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\cstdint:8:
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:908:1: error: static assertion failed: error STL1000: Unexpected compiler version, expected Clang 19.0.0 or newer.
    _EMIT_STL_ERROR(STL1000, "Unexpected compiler version, expected Clang 19.0.0 or newer.");
    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:534:44: note: expanded from macro '_EMIT_STL_ERROR'
    #define _EMIT_STL_ERROR(NUMBER, MESSAGE)   static_assert(false, "error " #NUMBER ": " MESSAGE)
                                               ^             ~~~~~
    1 error generated.
    [6/125] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/traits.cpp.obj
    FAILED: ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/traits.cpp.obj
    C:\PROGRA~1\AMD\ROCm\5.7\bin\CLANG_~1.EXE -DGGML_MAX_NAME=128 -DGGML_SCHED_MAX_COPIES=4 -DGGML_USE_CPU_REPACK -DSD_USE_CUDA -D_CRT_SECURE_NO_WARNINGS -D_XOPEN_SOURCE=600 -ID:/stable-diffusion.cpp/ggml/src/.. -ID:/stable-diffusion.cpp/ggml/src/. -ID:/stable-diffusion.cpp/ggml/src/ggml-cpu -ID:/stable-diffusion.cpp/ggml/src/../include -O3 -DNDEBUG -D_DLL -D_MT -Xclang --dependent-lib=msvcrt -std=gnu++17 -Wmissing-declarations -Wmissing-noreturn -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wunreachable-code-break -Wunreachable-code-return -Wmissing-prototypes -Wextra-semi -march=native -MD -MT ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/traits.cpp.obj -MF ggml\src\CMakeFiles\ggml-cpu.dir\ggml-cpu\traits.cpp.obj.d -o ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/traits.cpp.obj -c D:/stable-diffusion.cpp/ggml/src/ggml-cpu/traits.cpp
    In file included from D:/stable-diffusion.cpp/ggml/src/ggml-cpu/traits.cpp:1:
    In file included from D:/stable-diffusion.cpp/ggml/src/ggml-cpu/traits.h:3:
    In file included from D:/stable-diffusion.cpp/ggml/src/ggml-cpu/ggml-cpu-impl.h:6:
    In file included from D:/stable-diffusion.cpp/ggml/src/.\ggml-impl.h:549:
    In file included from C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\initializer_list:8:
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:908:1: error: static assertion failed: error STL1000: Unexpected compiler version, expected Clang 19.0.0 or newer.
    _EMIT_STL_ERROR(STL1000, "Unexpected compiler version, expected Clang 19.0.0 or newer.");
    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:534:44: note: expanded from macro '_EMIT_STL_ERROR'
    #define _EMIT_STL_ERROR(NUMBER, MESSAGE)   static_assert(false, "error " #NUMBER ": " MESSAGE)
                                               ^             ~~~~~
    1 error generated.
    [7/125] Building CXX object ggml/src/CMakeFiles/ggml-base.dir/gguf.cpp.obj
    FAILED: ggml/src/CMakeFiles/ggml-base.dir/gguf.cpp.obj
    C:\PROGRA~1\AMD\ROCm\5.7\bin\CLANG_~1.EXE -DGGML_COMMIT=\"7dee1d6a\" -DGGML_MAX_NAME=128 -DGGML_SCHED_MAX_COPIES=4 -DGGML_VERSION=\"0.0.2404\" -DSD_USE_CUDA -D_CRT_SECURE_NO_WARNINGS -D_XOPEN_SOURCE=600 -ID:/stable-diffusion.cpp/ggml/src/. -ID:/stable-diffusion.cpp/ggml/src/../include -O3 -DNDEBUG -D_DLL -D_MT -Xclang --dependent-lib=msvcrt -std=gnu++17 -Wmissing-declarations -Wmissing-noreturn -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wunreachable-code-break -Wunreachable-code-return -Wmissing-prototypes -Wextra-semi -MD -MT ggml/src/CMakeFiles/ggml-base.dir/gguf.cpp.obj -MF ggml\src\CMakeFiles\ggml-base.dir\gguf.cpp.obj.d -o ggml/src/CMakeFiles/ggml-base.dir/gguf.cpp.obj -c D:/stable-diffusion.cpp/ggml/src/gguf.cpp
    In file included from D:/stable-diffusion.cpp/ggml/src/gguf.cpp:3:
    In file included from D:/stable-diffusion.cpp/ggml/src/./ggml-impl.h:549:
    In file included from C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\initializer_list:8:
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:908:1: error: static assertion failed: error STL1000: Unexpected compiler version, expected Clang 19.0.0 or newer.
    _EMIT_STL_ERROR(STL1000, "Unexpected compiler version, expected Clang 19.0.0 or newer.");
    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:534:44: note: expanded from macro '_EMIT_STL_ERROR'
    #define _EMIT_STL_ERROR(NUMBER, MESSAGE)   static_assert(false, "error " #NUMBER ": " MESSAGE)
                                               ^             ~~~~~
    1 error generated.
    [8/125] Building CXX object ggml/src/CMakeFiles/ggml-base.dir/ggml-opt.cpp.obj
    FAILED: ggml/src/CMakeFiles/ggml-base.dir/ggml-opt.cpp.obj
    C:\PROGRA~1\AMD\ROCm\5.7\bin\CLANG_~1.EXE -DGGML_COMMIT=\"7dee1d6a\" -DGGML_MAX_NAME=128 -DGGML_SCHED_MAX_COPIES=4 -DGGML_VERSION=\"0.0.2404\" -DSD_USE_CUDA -D_CRT_SECURE_NO_WARNINGS -D_XOPEN_SOURCE=600 -ID:/stable-diffusion.cpp/ggml/src/. -ID:/stable-diffusion.cpp/ggml/src/../include -O3 -DNDEBUG -D_DLL -D_MT -Xclang --dependent-lib=msvcrt -std=gnu++17 -Wmissing-declarations -Wmissing-noreturn -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wunreachable-code-break -Wunreachable-code-return -Wmissing-prototypes -Wextra-semi -MD -MT ggml/src/CMakeFiles/ggml-base.dir/ggml-opt.cpp.obj -MF ggml\src\CMakeFiles\ggml-base.dir\ggml-opt.cpp.obj.d -o ggml/src/CMakeFiles/ggml-base.dir/ggml-opt.cpp.obj -c D:/stable-diffusion.cpp/ggml/src/ggml-opt.cpp
    In file included from D:/stable-diffusion.cpp/ggml/src/ggml-opt.cpp:6:
    In file included from D:/stable-diffusion.cpp/ggml/src/./ggml-impl.h:549:
    In file included from C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\initializer_list:8:
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:908:1: error: static assertion failed: error STL1000: Unexpected compiler version, expected Clang 19.0.0 or newer.
    _EMIT_STL_ERROR(STL1000, "Unexpected compiler version, expected Clang 19.0.0 or newer.");
    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:534:44: note: expanded from macro '_EMIT_STL_ERROR'
    #define _EMIT_STL_ERROR(NUMBER, MESSAGE)   static_assert(false, "error " #NUMBER ": " MESSAGE)
                                               ^             ~~~~~
    1 error generated.
    [9/125] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/ggml-cpu.cpp.obj
    FAILED: ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/ggml-cpu.cpp.obj
    C:\PROGRA~1\AMD\ROCm\5.7\bin\CLANG_~1.EXE -DGGML_MAX_NAME=128 -DGGML_SCHED_MAX_COPIES=4 -DGGML_USE_CPU_REPACK -DSD_USE_CUDA -D_CRT_SECURE_NO_WARNINGS -D_XOPEN_SOURCE=600 -ID:/stable-diffusion.cpp/ggml/src/.. -ID:/stable-diffusion.cpp/ggml/src/. -ID:/stable-diffusion.cpp/ggml/src/ggml-cpu -ID:/stable-diffusion.cpp/ggml/src/../include -O3 -DNDEBUG -D_DLL -D_MT -Xclang --dependent-lib=msvcrt -std=gnu++17 -Wmissing-declarations -Wmissing-noreturn -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wunreachable-code-break -Wunreachable-code-return -Wmissing-prototypes -Wextra-semi -march=native -MD -MT ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/ggml-cpu.cpp.obj -MF ggml\src\CMakeFiles\ggml-cpu.dir\ggml-cpu\ggml-cpu.cpp.obj.d -o ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/ggml-cpu.cpp.obj -c D:/stable-diffusion.cpp/ggml/src/ggml-cpu/ggml-cpu.cpp
    In file included from D:/stable-diffusion.cpp/ggml/src/ggml-cpu/ggml-cpu.cpp:4:
    In file included from D:/stable-diffusion.cpp/ggml/src/ggml-cpu/repack.h:4:
    In file included from D:/stable-diffusion.cpp/ggml/src/.\ggml-common.h:14:
    In file included from C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\cstdint:8:
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:908:1: error: static assertion failed: error STL1000: Unexpected compiler version, expected Clang 19.0.0 or newer.
    _EMIT_STL_ERROR(STL1000, "Unexpected compiler version, expected Clang 19.0.0 or newer.");
    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:534:44: note: expanded from macro '_EMIT_STL_ERROR'
    #define _EMIT_STL_ERROR(NUMBER, MESSAGE)   static_assert(false, "error " #NUMBER ": " MESSAGE)
                                               ^             ~~~~~
    1 error generated.
    [10/125] Building CXX object ggml/src/CMakeFiles/ggml.dir/ggml-backend-reg.cpp.obj
    FAILED: ggml/src/CMakeFiles/ggml.dir/ggml-backend-reg.cpp.obj
    C:\PROGRA~1\AMD\ROCm\5.7\bin\CLANG_~1.EXE -DGGML_MAX_NAME=128 -DGGML_SCHED_MAX_COPIES=4 -DGGML_USE_CPU -DGGML_USE_CUDA -DGGML_USE_HIP -DSD_USE_CUDA -D_CRT_SECURE_NO_WARNINGS -D_XOPEN_SOURCE=600 -ID:/stable-diffusion.cpp/ggml/src/../include -O3 -DNDEBUG -D_DLL -D_MT -Xclang --dependent-lib=msvcrt -std=gnu++17 -Wmissing-declarations -Wmissing-noreturn -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wunreachable-code-break -Wunreachable-code-return -Wmissing-prototypes -Wextra-semi -MD -MT ggml/src/CMakeFiles/ggml.dir/ggml-backend-reg.cpp.obj -MF ggml\src\CMakeFiles\ggml.dir\ggml-backend-reg.cpp.obj.d -o ggml/src/CMakeFiles/ggml.dir/ggml-backend-reg.cpp.obj -c D:/stable-diffusion.cpp/ggml/src/ggml-backend-reg.cpp
    In file included from D:/stable-diffusion.cpp/ggml/src/ggml-backend-reg.cpp:3:
    In file included from D:/stable-diffusion.cpp/ggml/src/ggml-impl.h:549:
    In file included from C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\initializer_list:8:
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:908:1: error: static assertion failed: error STL1000: Unexpected compiler version, expected Clang 19.0.0 or newer.
    _EMIT_STL_ERROR(STL1000, "Unexpected compiler version, expected Clang 19.0.0 or newer.");
    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:534:44: note: expanded from macro '_EMIT_STL_ERROR'
    #define _EMIT_STL_ERROR(NUMBER, MESSAGE)   static_assert(false, "error " #NUMBER ": " MESSAGE)
                                               ^             ~~~~~
    1 error generated.
    [11/125] Building CXX object CMakeFiles/stable-diffusion.dir/upscaler.cpp.obj
    FAILED: CMakeFiles/stable-diffusion.dir/upscaler.cpp.obj
    C:\PROGRA~1\AMD\ROCm\5.7\bin\CLANG_~1.EXE -DGGML_MAX_NAME=128 -DGGML_USE_CPU -DGGML_USE_CUDA -DGGML_USE_HIP -DSD_USE_CUDA -ID:/stable-diffusion.cpp/. -ID:/stable-diffusion.cpp/thirdparty -ID:/stable-diffusion.cpp/ggml/src/../include -ID:/stable-diffusion.cpp/thirdparty/. -O3 -DNDEBUG -D_DLL -D_MT -Xclang --dependent-lib=msvcrt -MD -MT CMakeFiles/stable-diffusion.dir/upscaler.cpp.obj -MF CMakeFiles\stable-diffusion.dir\upscaler.cpp.obj.d -o CMakeFiles/stable-diffusion.dir/upscaler.cpp.obj -c D:/stable-diffusion.cpp/upscaler.cpp
    In file included from D:/stable-diffusion.cpp/upscaler.cpp:1:
    In file included from D:/stable-diffusion.cpp/./esrgan.hpp:4:
    In file included from D:/stable-diffusion.cpp/./ggml_extend.hpp:7:
    In file included from C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\algorithm:8:
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:908:1: error: static assertion failed: error STL1000: Unexpected compiler version, expected Clang 19.0.0 or newer.
    _EMIT_STL_ERROR(STL1000, "Unexpected compiler version, expected Clang 19.0.0 or newer.");
    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:534:44: note: expanded from macro '_EMIT_STL_ERROR'
    #define _EMIT_STL_ERROR(NUMBER, MESSAGE)   static_assert(false, "error " #NUMBER ": " MESSAGE)
                                               ^             ~~~~~
    1 error generated.
    [13/125] Building CXX object CMakeFiles/stable-diffusion.dir/util.cpp.obj
    FAILED: CMakeFiles/stable-diffusion.dir/util.cpp.obj
    C:\PROGRA~1\AMD\ROCm\5.7\bin\CLANG_~1.EXE -DGGML_MAX_NAME=128 -DGGML_USE_CPU -DGGML_USE_CUDA -DGGML_USE_HIP -DSD_USE_CUDA -ID:/stable-diffusion.cpp/. -ID:/stable-diffusion.cpp/thirdparty -ID:/stable-diffusion.cpp/ggml/src/../include -ID:/stable-diffusion.cpp/thirdparty/. -O3 -DNDEBUG -D_DLL -D_MT -Xclang --dependent-lib=msvcrt -MD -MT CMakeFiles/stable-diffusion.dir/util.cpp.obj -MF CMakeFiles\stable-diffusion.dir\util.cpp.obj.d -o CMakeFiles/stable-diffusion.dir/util.cpp.obj -c D:/stable-diffusion.cpp/util.cpp
    In file included from D:/stable-diffusion.cpp/util.cpp:1:
    In file included from D:/stable-diffusion.cpp/./util.h:4:
    In file included from C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\cstdint:8:
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:908:1: error: static assertion failed: error STL1000: Unexpected compiler version, expected Clang 19.0.0 or newer.
    _EMIT_STL_ERROR(STL1000, "Unexpected compiler version, expected Clang 19.0.0 or newer.");
    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:534:44: note: expanded from macro '_EMIT_STL_ERROR'
    #define _EMIT_STL_ERROR(NUMBER, MESSAGE)   static_assert(false, "error " #NUMBER ": " MESSAGE)
                                               ^             ~~~~~
    In file included from D:/stable-diffusion.cpp/util.cpp:30:
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:760:31: warning: expression result unused [-Wunused-value]
        STBIR__DEBUG_ASSERT(scale <= 1);
                            ~~~~~ ^  ~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:778:31: warning: expression result unused [-Wunused-value]
        STBIR__DEBUG_ASSERT(scale <= 1);
                            ~~~~~ ^  ~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1041:56: warning: expression result unused [-Wunused-value]
        STBIR__DEBUG_ASSERT(in_last_pixel - in_first_pixel <= (int)ceil(stbir__filter_info_table[filter].support(1/scale) * 2)); // Taken directly from stbir__get_coefficient_width() which we can't call because we don't know if we're horizontal or vertical.
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ^  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1046:41: warning: expression result unused [-Wunused-value]
        STBIR__DEBUG_ASSERT(contributor->n1 >= contributor->n0);
                            ~~~~~~~~~~~~~~~ ^  ~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1064:128: warning: expression result unused [-Wunused-value]
        STBIR__DEBUG_ASSERT(stbir__filter_info_table[filter].kernel((float)(in_last_pixel + 1) + 0.5f - in_center_of_out, 1/scale) == 0);
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ^  ~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1066:38: warning: expression result unused [-Wunused-value]
        STBIR__DEBUG_ASSERT(total_filter > 0.9);
                            ~~~~~~~~~~~~ ^ ~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1067:38: warning: expression result unused [-Wunused-value]
        STBIR__DEBUG_ASSERT(total_filter < 1.1f); // Make sure it's not way off.
                            ~~~~~~~~~~~~ ^ ~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1089:59: warning: expression result unused [-Wunused-value]
         STBIR__DEBUG_ASSERT(out_last_pixel - out_first_pixel <= (int)ceil(stbir__filter_info_table[filter].support(scale_ratio) * 2)); // Taken directly from stbir__get_coefficient_width() which we can't call because we don't know if we're horizontal or vertical.
                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ^  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1094:41: warning: expression result unused [-Wunused-value]
        STBIR__DEBUG_ASSERT(contributor->n1 >= contributor->n0);
                            ~~~~~~~~~~~~~~~ ^  ~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1103:133: warning: expression result unused [-Wunused-value]
        STBIR__DEBUG_ASSERT(stbir__filter_info_table[filter].kernel((float)(out_last_pixel + 1) + 0.5f - out_center_of_in, scale_ratio) == 0);
                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ^  ~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1138:35: warning: expression result unused [-Wunused-value]
            STBIR__DEBUG_ASSERT(total > 0.9f);
                                ~~~~~ ^ ~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1139:35: warning: expression result unused [-Wunused-value]
            STBIR__DEBUG_ASSERT(total < 1.1f);
                                ~~~~~ ^ ~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1427:47: warning: expression result unused [-Wunused-value]
            STBIR__DEBUG_ASSERT(ring_buffer_index != stbir_info->ring_buffer_begin_index);
                                ~~~~~~~~~~~~~~~~~ ^  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1459:32: warning: expression result unused [-Wunused-value]
            STBIR__DEBUG_ASSERT(n1 >= n0);
                                ~~ ^  ~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1460:32: warning: expression result unused [-Wunused-value]
            STBIR__DEBUG_ASSERT(n0 >= -stbir_info->horizontal_filter_pixel_margin);
                                ~~ ^  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1461:32: warning: expression result unused [-Wunused-value]
            STBIR__DEBUG_ASSERT(n1 >= -stbir_info->horizontal_filter_pixel_margin);
                                ~~ ^  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1462:32: warning: expression result unused [-Wunused-value]
            STBIR__DEBUG_ASSERT(n0 < stbir_info->input_w + stbir_info->horizontal_filter_pixel_margin);
                                ~~ ^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1463:32: warning: expression result unused [-Wunused-value]
            STBIR__DEBUG_ASSERT(n1 < stbir_info->input_w + stbir_info->horizontal_filter_pixel_margin);
                                ~~ ^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1471:53: warning: expression result unused [-Wunused-value]
                        STBIR__DEBUG_ASSERT(coefficient != 0);
                                            ~~~~~~~~~~~ ^  ~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1480:53: warning: expression result unused [-Wunused-value]
                        STBIR__DEBUG_ASSERT(coefficient != 0);
                                            ~~~~~~~~~~~ ^  ~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1490:53: warning: expression result unused [-Wunused-value]
                        STBIR__DEBUG_ASSERT(coefficient != 0);
                                            ~~~~~~~~~~~ ^  ~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1501:53: warning: expression result unused [-Wunused-value]
                        STBIR__DEBUG_ASSERT(coefficient != 0);
                                            ~~~~~~~~~~~ ^  ~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1514:53: warning: expression result unused [-Wunused-value]
                        STBIR__DEBUG_ASSERT(coefficient != 0);
                                            ~~~~~~~~~~~ ^  ~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1537:25: warning: expression result unused [-Wunused-value]
        STBIR__DEBUG_ASSERT(!stbir__use_width_upsampling(stbir_info));
                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1555:53: warning: expression result unused [-Wunused-value]
                        STBIR__DEBUG_ASSERT(coefficient != 0);
                                            ~~~~~~~~~~~ ^  ~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1576:53: warning: expression result unused [-Wunused-value]
                        STBIR__DEBUG_ASSERT(coefficient != 0);
                                            ~~~~~~~~~~~ ^  ~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1598:53: warning: expression result unused [-Wunused-value]
                        STBIR__DEBUG_ASSERT(coefficient != 0);
                                            ~~~~~~~~~~~ ^  ~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1621:53: warning: expression result unused [-Wunused-value]
                        STBIR__DEBUG_ASSERT(coefficient != 0);
                                            ~~~~~~~~~~~ ^  ~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:1646:53: warning: expression result unused [-Wunused-value]
                        STBIR__DEBUG_ASSERT(coefficient != 0);
                                            ~~~~~~~~~~~ ^  ~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:2005:25: warning: expression result unused [-Wunused-value]
        STBIR__DEBUG_ASSERT(!stbir__use_height_upsampling(stbir_info));
                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:2079:66: warning: expression result unused [-Wunused-value]
            STBIR__DEBUG_ASSERT(in_last_scanline - in_first_scanline <= stbir_info->vertical_filter_pixel_width);
                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ^  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:2171:25: warning: expression result unused [-Wunused-value]
        STBIR__DEBUG_ASSERT(!stbir__use_height_upsampling(stbir_info));
                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:2180:68: warning: expression result unused [-Wunused-value]
            STBIR__DEBUG_ASSERT(out_last_scanline - out_first_scanline <= stbir_info->vertical_filter_pixel_width);
                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ^  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:2382:92: warning: expression result unused [-Wunused-value]
            STBIR__DEBUG_ASSERT((size_t)STBIR__NEXT_MEMPTR(info->encode_buffer, unsigned char) == (size_t)tempmem + tempmem_size_in_bytes);
                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ^  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/thirdparty\stb_image_resize.h:2390:90: warning: expression result unused [-Wunused-value]
            STBIR__DEBUG_ASSERT((size_t)STBIR__NEXT_MEMPTR(info->ring_buffer, unsigned char) == (size_t)tempmem + tempmem_size_in_bytes);
                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ^  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    D:/stable-diffusion.cpp/util.cpp:406:5: warning: 'strncat' is deprecated: This function or variable may be unsafe. Consider using strncat_s instead. To disable deprecation, use _CRT_SECURE_NO_WARNINGS. See online help for details. [-Wdeprecated-declarations]
        strncat(log_buffer, "\n", LOG_BUFFER_SIZE - strlen(log_buffer));
        ^
    C:\Program Files (x86)\Windows Kits\10\Include\10.0.19041.0\ucrt\string.h:262:1: note: 'strncat' has been explicitly marked deprecated here
    __DEFINE_CPP_OVERLOAD_STANDARD_NFUNC_0_2_EX(
    ^
    C:\Program Files (x86)\Windows Kits\10\Include\10.0.19041.0\ucrt\corecrt.h:1921:17: note: expanded from macro '__DEFINE_CPP_OVERLOAD_STANDARD_NFUNC_0_2_EX'
                    _CRT_INSECURE_DEPRECATE(_SecureFuncName) _DeclSpec _ReturnType __cdecl _FuncName(_SalAttributeDst _DstType *_Dst, _TType1 _TArg1, _TType2 _TArg2);
                    ^
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\vcruntime.h:368:55: note: expanded from macro '_CRT_INSECURE_DEPRECATE'
            #define _CRT_INSECURE_DEPRECATE(_Replacement) _CRT_DEPRECATE_TEXT(    \
                                                          ^
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\vcruntime.h:358:47: note: expanded from macro '_CRT_DEPRECATE_TEXT'
    #define _CRT_DEPRECATE_TEXT(_Text) __declspec(deprecated(_Text))
                                                  ^
    36 warnings and 1 error generated.
    [14/125] Building CXX object CMakeFiles/stable-diffusion.dir/stable-diffusion.cpp.obj
    FAILED: CMakeFiles/stable-diffusion.dir/stable-diffusion.cpp.obj
    C:\PROGRA~1\AMD\ROCm\5.7\bin\CLANG_~1.EXE -DGGML_MAX_NAME=128 -DGGML_USE_CPU -DGGML_USE_CUDA -DGGML_USE_HIP -DSD_USE_CUDA -ID:/stable-diffusion.cpp/. -ID:/stable-diffusion.cpp/thirdparty -ID:/stable-diffusion.cpp/ggml/src/../include -ID:/stable-diffusion.cpp/thirdparty/. -O3 -DNDEBUG -D_DLL -D_MT -Xclang --dependent-lib=msvcrt -MD -MT CMakeFiles/stable-diffusion.dir/stable-diffusion.cpp.obj -MF CMakeFiles\stable-diffusion.dir\stable-diffusion.cpp.obj.d -o CMakeFiles/stable-diffusion.dir/stable-diffusion.cpp.obj -c D:/stable-diffusion.cpp/stable-diffusion.cpp
    In file included from D:/stable-diffusion.cpp/stable-diffusion.cpp:1:
    In file included from D:/stable-diffusion.cpp/./ggml_extend.hpp:7:
    In file included from C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\algorithm:8:
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:908:1: error: static assertion failed: error STL1000: Unexpected compiler version, expected Clang 19.0.0 or newer.
    _EMIT_STL_ERROR(STL1000, "Unexpected compiler version, expected Clang 19.0.0 or newer.");
    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:534:44: note: expanded from macro '_EMIT_STL_ERROR'
    #define _EMIT_STL_ERROR(NUMBER, MESSAGE)   static_assert(false, "error " #NUMBER ": " MESSAGE)
                                               ^             ~~~~~
    1 error generated.
    [15/125] Building CXX object CMakeFiles/stable-diffusion.dir/model.cpp.obj
    FAILED: CMakeFiles/stable-diffusion.dir/model.cpp.obj
    C:\PROGRA~1\AMD\ROCm\5.7\bin\CLANG_~1.EXE -DGGML_MAX_NAME=128 -DGGML_USE_CPU -DGGML_USE_CUDA -DGGML_USE_HIP -DSD_USE_CUDA -ID:/stable-diffusion.cpp/. -ID:/stable-diffusion.cpp/thirdparty -ID:/stable-diffusion.cpp/ggml/src/../include -ID:/stable-diffusion.cpp/thirdparty/. -O3 -DNDEBUG -D_DLL -D_MT -Xclang --dependent-lib=msvcrt -MD -MT CMakeFiles/stable-diffusion.dir/model.cpp.obj -MF CMakeFiles\stable-diffusion.dir\model.cpp.obj.d -o CMakeFiles/stable-diffusion.dir/model.cpp.obj -c D:/stable-diffusion.cpp/model.cpp
    In file included from D:/stable-diffusion.cpp/model.cpp:2:
    In file included from C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\fstream:8:
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:908:1: error: static assertion failed: error STL1000: Unexpected compiler version, expected Clang 19.0.0 or newer.
    _EMIT_STL_ERROR(STL1000, "Unexpected compiler version, expected Clang 19.0.0 or newer.");
    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\include\yvals_core.h:534:44: note: expanded from macro '_EMIT_STL_ERROR'
    #define _EMIT_STL_ERROR(NUMBER, MESSAGE)   static_assert(false, "error " #NUMBER ": " MESSAGE)
    

    This seems to indicate that the version of clang built into hip5.7 is too low, and I think I need to upgrade to 6.2.4?

  25. magictext commented on Aug 9, 2025

    @magictext
    Author

    Also,when run cmake .. -G "Ninja" -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ -DSD_HIPBLAS=ON -DCMAKE_BUILD_TYPE=Release -DAMDGPU_TARGETS=gfx1032
    ,,need set env HIP_PLATFORM = amd

  26. magictext commented on Aug 9, 2025

    @magictext
    Author

    I successfully built
    Here is the performance I tested using the same parameters
    sd.cpp with vulkan 4.52s/it
    sd.cpp with rocm6.2 3.3s/it
    pytorch + rocm5.7 + zluda 4.5s/it (But VAE computation will additionally consume a considerable amount of time)

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