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- Compiler backend: oneflow
- The maximum supported diffusers version number: 0.29.2
- SDXL Base https://github.com/siliconflow/onediff/edit/main/onediff_diffusers_extensions/examples/text_to_image_sdxl.py
- SDXL Quantization https://github.com/siliconflow/onediff/blob/main/README_ENTERPRISE.md#diffusers-sdxl
- Compiler backend: nexfort
- The maximum supported diffusers version number: 0.30.0
- FLUX Base https://github.com/siliconflow/onediff/tree/main/onediff_diffusers_extensions/examples/flux#acceleration-with-onediff-community
- FLUX Quantization https://github.com/siliconflow/onediff/tree/main/onediff_diffusers_extensions/examples/flux#acceleration-with-onediff-enterprisewith-quantization
- Compiler backend: oneflow
- SDXL Base https://github.com/siliconflow/onediff/tree/main/onediff_comfy_nodes#load-checkpoint---onediff
- SDXL Quantization https://github.com/siliconflow/onediff/blob/main/README_ENTERPRISE.md#comfyui-sdxl
- SDXL InstantID
- SDXL Ipadaptor
- SDXL PuLID
https://www.felixsanz.dev/articles/ultimate-guide-to-optimizing-stable-diffusion-xl
(onediff) "improves the visual quality of the result, almost halves inference time and the only penalty is a small wait at compilation time. What a great job!"
https://medium.com/@admin_13769/stable-diffusion-accelerated-up-to-211-2-202b36ac8090
(onediff) "achieves a relative speedup of 211.2% compared to Xformers on RTX 3090, and a speedup of 205.6% on RTX 4090."
- OneDiff加速“图生生”，解锁电商AI图像处理新范式 by 图生生
- 百万用户通话新风潮：仅需50秒，无界AI让彩铃变身短视频 by 无界AI
- Stable Diffusion XL优化终极指南 by Félix Sanz
- diffusers SD推理加速方案的调研实践总结 by 行宣
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- Discord
- Adoptions(public repositories which are using onediff)
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