Update app.py
Browse files
app.py
CHANGED
@@ -52,19 +52,19 @@ repo_pixel.load_lora_weights("artificialguybr/PixelArtRedmond", adapter_name="ba
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repo_pixel.load_lora_weights("nerijs/pixel-art-xl", adapter_name="base2")
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repo_pixel.set_adapters(["base", "base2"], adapter_weights=[1, 1])
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repo_large_path = snapshot_download(repo_id="stabilityai/stable-diffusion-3-medium", revision="refs/pr/26", token=HF_TOKEN)
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repo_large_transformer_path = SD3Transformer2DModel.from_pretrained(repo_large_path, subfolder="transformer", torch_dtype=torch.float16)
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repo_large_transformer = PeftModel.from_pretrained(repo_large_transformer_path, "jasperai/flash-sd3")
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repo_customs = {
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"Default": repo_default,
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"Realistic": StableDiffusionXLPipeline.from_pretrained("ehristoforu/Visionix-alpha", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False),
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"Anime": StableDiffusionXLPipeline.from_pretrained("cagliostrolab/animagine-xl-3.1", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False),
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"Pixel": repo_pixel,
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"Large": StableDiffusion3Pipeline.from_pretrained(repo_large_path, transformer=repo_large_transformer, torch_dtype=torch.float16, use_safetensors=True),
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}
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repo_customs["Large"].scheduler = FlashFlowMatchEulerDiscreteScheduler.from_pretrained(repo_large_path, subfolder="scheduler")
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# Functions
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def save_image(img, seed):
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repo_pixel.load_lora_weights("nerijs/pixel-art-xl", adapter_name="base2")
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repo_pixel.set_adapters(["base", "base2"], adapter_weights=[1, 1])
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# repo_large_path = snapshot_download(repo_id="stabilityai/stable-diffusion-3-medium", revision="refs/pr/26", token=HF_TOKEN)
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# repo_large_transformer_path = SD3Transformer2DModel.from_pretrained(repo_large_path, subfolder="transformer", torch_dtype=torch.float16)
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# repo_large_transformer = PeftModel.from_pretrained(repo_large_transformer_path, "jasperai/flash-sd3")
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repo_customs = {
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"Default": repo_default,
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"Realistic": StableDiffusionXLPipeline.from_pretrained("ehristoforu/Visionix-alpha", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False),
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"Anime": StableDiffusionXLPipeline.from_pretrained("cagliostrolab/animagine-xl-3.1", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False),
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"Pixel": repo_pixel,
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"Large": None, # StableDiffusion3Pipeline.from_pretrained(repo_large_path, transformer=repo_large_transformer, torch_dtype=torch.float16, use_safetensors=True),
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}
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# repo_customs["Large"].scheduler = FlashFlowMatchEulerDiscreteScheduler.from_pretrained(repo_large_path, subfolder="scheduler")
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# Functions
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def save_image(img, seed):
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