Update app.py
Browse files
app.py
CHANGED
@@ -45,7 +45,7 @@ repo_nsfw_classifier = pipeline("image-classification", model="Falconsai/nsfw_im
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repo_default = DiffusionPipeline.from_pretrained("fluently/Fluently-XL-Final", device=DEVICE, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
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repo_large = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", device=DEVICE, torch_dtype=torch.bfloat16, add_watermarker=False, revision="refs/pr/1")
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# repo_large.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
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# repo_large.set_adapters(["base"], adapter_weights=[0.7])
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@@ -54,7 +54,7 @@ repo_customs = {
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"Realistic": DiffusionPipeline.from_pretrained("ehristoforu/Visionix-alpha", device=DEVICE, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False),
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"Anime": DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.1", device=DEVICE, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False),
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"Pixel": repo_default,
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"Large": repo_neo,
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}
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# Functions
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repo_default = DiffusionPipeline.from_pretrained("fluently/Fluently-XL-Final", device=DEVICE, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
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# repo_large = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", device=DEVICE, torch_dtype=torch.bfloat16, add_watermarker=False, revision="refs/pr/1")
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# repo_large.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
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# repo_large.set_adapters(["base"], adapter_weights=[0.7])
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"Realistic": DiffusionPipeline.from_pretrained("ehristoforu/Visionix-alpha", device=DEVICE, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False),
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"Anime": DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.1", device=DEVICE, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False),
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"Pixel": repo_default,
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# "Large": repo_neo,
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}
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# Functions
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