DarthAffe/stable-diffusion.cpp
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feat: add SYCL Backend Support for Intel GPUs (#330)

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* update ggml and add SYCL CMake option

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

* hacky CMakeLists.txt for updating ggml in cpu backend

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

* rebase and clean code

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

* add sycl in README

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

* rebase ggml commit

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

* refine README

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

* update ggml for supporting sycl tsembd op

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>

---------

Signed-off-by: zhentaoyu <zhentao.yu@intel.com>
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zhentaoyu authored and GitHub committed 2024-08-10 13:42:50 +08:00
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README.md
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@@ -20,7 +20,7 @@ Inference of [Stable Diffusion](https://github.com/CompVis/stable-diffusion) in
- Accelerated memory-efficient CPU inference
- Only requires ~2.3GB when using txt2img with fp16 precision to generate a 512x512 image, enabling Flash Attention just requires ~1.8GB.
- AVX, AVX2 and AVX512 support for x86 architectures
- Full CUDA and Metal backend for GPU acceleration.
- Full CUDA, Metal and SYCL backend for GPU acceleration.
- Can load ckpt, safetensors and diffusers models/checkpoints. Standalone VAEs models
- No need to convert to `.ggml` or `.gguf` anymore!
- Flash Attention for memory usage optimization (only cpu for now)
@@ -142,6 +142,37 @@ cmake .. -DSD_METAL=ON
cmake --build . --config Release
```
##### Using SYCL
Using SYCL makes the computation run on the Intel GPU. Please make sure you have installed the related driver and [Intel® oneAPI Base toolkit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html) before start. More details and steps can refer to [llama.cpp SYCL backend](https://github.com/ggerganov/llama.cpp/blob/master/docs/backend/SYCL.md#linux).
```
# Export relevant ENV variables
source /opt/intel/oneapi/setvars.sh
# Option 1: Use FP32 (recommended for better performance in most cases)
cmake .. -DSD_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
# Option 2: Use FP16
cmake .. -DSD_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON
cmake --build . --config Release
```
Example of text2img by using SYCL backend:
- download `stable-diffusion` model weight, refer to [download-weight](#download-weights).
- run `./bin/sd -m ../models/sd3_medium_incl_clips_t5xxlfp16.safetensors --cfg-scale 5 --steps 30 --sampling-method euler -H 512 -W 512 --seed 42 -p "fantasy medieval village world inside a glass sphere , high detail, fantasy, realistic, light effect, hyper detail, volumetric lighting, cinematic, macro, depth of field, blur, red light and clouds from the back, highly detailed epic cinematic concept art cg render made in maya, blender and photoshop, octane render, excellent composition, dynamic dramatic cinematic lighting, aesthetic, very inspirational, world inside a glass sphere by james gurney by artgerm with james jean, joe fenton and tristan eaton by ross tran, fine details, 4k resolution"`
<p align="center">
<img src="./assets/sycl_sd3_output.png" width="360x">
</p>
> [!NOTE]
> Try to set smaller image height and width (for example, `-H 512 -W 512`) if you meet `Provided range is out of integer limits. Pass '-fno-sycl-id-queries-fit-in-int' to disable range check.`
##### Using Flash Attention
Enabling flash attention reduces memory usage by at least 400 MB. At the moment, it is not supported when CUBLAS is enabled because the kernel implementation is missing.