polu commited on
Commit
d3260f5
·
1 Parent(s): 846b367
Files changed (1) hide show
  1. app.py +4 -5
app.py CHANGED
@@ -31,8 +31,7 @@ if not path.exists(cache_path):
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  os.makedirs(cache_path, exist_ok=True)
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  pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
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- # pipe.load_lora_weights(hf_hub_download("RED-AIGC/TDD", "TDD-FLUX.1-dev-lora-beta.safetensors"))
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- pipe.load_lora_weights(hf_hub_download("ByteDance/Hyper-SD", "Hyper-FLUX.1-dev-8steps-lora.safetensors"))
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  pipe.fuse_lora(lora_scale=0.125)
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  pipe.to(device="cuda", dtype=torch.bfloat16)
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@@ -50,9 +49,9 @@ with gr.Blocks(css=css) as demo:
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  gr.Markdown(
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  """
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  # FLUX.1-dev(beta) distilled by ✨Target-Driven Distillation✨
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- Compared to Hyper-FLUX, the beta version of TDD has its parameters reduced by half(600M), resulting in more realistic details. Due to the limitations of the machine configuration, there are still many imperfections in the test version. The official version is still being optimized and is expected to be released after the Mid-Autumn Festival. TDD is also available for distilling video generation models. This space presents TDD-distilled [FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev).
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  [**Project Page**](https://redaigc.github.io/TDD/) **|** [**Paper**](https://arxiv.org/abs/2409.01347) **|** [**Code**](https://github.com/RedAIGC/Target-Driven-Distillation) **|** [**Model**](https://huggingface.co/RED-AIGC/TDD) **|** [🤗 **TDD-SDXL Demo**](https://huggingface.co/spaces/RED-AIGC/TDD) **|** [🤗 **TDD-SVD Demo**](https://huggingface.co/spaces/RED-AIGC/SVD-TDD)
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- The codes of this space are built on [Hyper-SD](https://huggingface.co/spaces/ByteDance/Hyper-FLUX-8Steps-LoRA) and we acknowledge their contribution.
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  """
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  )
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@@ -61,7 +60,7 @@ with gr.Blocks(css=css) as demo:
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  with gr.Group():
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  prompt = gr.Textbox(
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  label="Prompt",
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- placeholder="E.g., portrait photo of a girl, photograph, highly detailed face, depth of field, moody light, golden hour, style by Dan Winters, Russell James, Steve McCurry, centered, extremely detailed, Nikon D850, award winning photography",
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  lines=3
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  )
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  os.makedirs(cache_path, exist_ok=True)
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  pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
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+ pipe.load_lora_weights(hf_hub_download("RED-AIGC/TDD", "TDD-FLUX.1-dev-lora-beta.safetensors"))
 
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  pipe.fuse_lora(lora_scale=0.125)
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  pipe.to(device="cuda", dtype=torch.bfloat16)
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  gr.Markdown(
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  """
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  # FLUX.1-dev(beta) distilled by ✨Target-Driven Distillation✨
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+ Compared to Hyper-FLUX, the beta version of TDD has its parameters reduced by half(600MB), resulting in more realistic details. Due to the limitations of the machine configuration, there are still many imperfections in the test version. The official version is still being optimized and is expected to be released after the National Day holiday. TDD is also available for distilling video generation models. This space presents TDD-distilled [FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev).
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  [**Project Page**](https://redaigc.github.io/TDD/) **|** [**Paper**](https://arxiv.org/abs/2409.01347) **|** [**Code**](https://github.com/RedAIGC/Target-Driven-Distillation) **|** [**Model**](https://huggingface.co/RED-AIGC/TDD) **|** [🤗 **TDD-SDXL Demo**](https://huggingface.co/spaces/RED-AIGC/TDD) **|** [🤗 **TDD-SVD Demo**](https://huggingface.co/spaces/RED-AIGC/SVD-TDD)
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+ The codes of this space are built on [Hyper-FLUX](https://huggingface.co/spaces/ByteDance/Hyper-FLUX-8Steps-LoRA) and we acknowledge their contribution.
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  """
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  )
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  with gr.Group():
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  prompt = gr.Textbox(
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  label="Prompt",
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+ placeholder="portrait photo of a girl, photograph, highly detailed face, depth of field, moody light, golden hour, style by Dan Winters, Russell James, Steve McCurry, centered, extremely detailed, Nikon D850, award winning photography",
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  lines=3
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  )
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