Update README
Browse files- README.md +5 -4
- README_CN.md +2 -2
README.md
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pipeline_tag: text-to-image
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extra_gated_eu_disallowed: true
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---
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[中文阅读](./README_CN.md)
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<p align="center">
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@@ -203,10 +205,9 @@ From the results, HunyuanImage 2.1 achieved a relative win rate of -1.36% agains
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**Minimum requrement for now:** 36 GB GPU memory for 2048x2048 image generation.
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> ✨
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> **Note:** The memory requirements above are measured with model CPU offloading enabled. If your GPU has sufficient memory, you may disable offloading for improved inference speed.
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- Supported operating system: Linux.
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# For the distilled model, use 8 steps for faster inference.
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# For the non-distilled model, use 50 steps for better quality.
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num_inference_steps=8 if "distilled" in model_name else 50,
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guidance_scale=3.5,
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shift=5,
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seed=649151,
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)
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pipeline_tag: text-to-image
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extra_gated_eu_disallowed: true
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---
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[中文阅读](./README_CN.md)
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<p align="center">
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**Minimum requrement for now:** 36 GB GPU memory for 2048x2048 image generation.
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> ✨ FP8-quantized models are coming soon, enabling even lower GPU memory requirements for inference, stay tuned 👀!
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> **Note:** The memory requirements above are measured with model CPU offloading enabled. If your GPU has sufficient memory, you may disable offloading for improved inference speed.
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- Supported operating system: Linux.
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# For the distilled model, use 8 steps for faster inference.
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# For the non-distilled model, use 50 steps for better quality.
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num_inference_steps=8 if "distilled" in model_name else 50,
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guidance_scale=3.25 if "distilled" in model_name else 3.5,
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shift=4 if "distilled" in model_name else 5,
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seed=649151,
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)
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README_CN.md
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@@ -237,8 +237,8 @@ image = pipe(
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# 对于蒸馏版模型,建议使用 8 步以加快推理速度
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# 对于非蒸馏版模型,建议使用 50 步以获得更高画质
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num_inference_steps=8 if "distilled" in model_name else 50,
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guidance_scale=3.5,
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shift=5,
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seed=649151,
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)
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# 对于蒸馏版模型,建议使用 8 步以加快推理速度
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# 对于非蒸馏版模型,建议使用 50 步以获得更高画质
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num_inference_steps=8 if "distilled" in model_name else 50,
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guidance_scale=3.25 if "distilled" in model_name else 3.5,
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shift=4 if "distilled" in model_name else 5,
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seed=649151,
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)
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