Update app.py
Browse files
app.py
CHANGED
@@ -36,7 +36,8 @@ repo_nsfw_classifier = pipeline("image-classification", model="Falconsai/nsfw_im
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repo_default = StableDiffusionXLPipeline.from_pretrained("fluently/Fluently-XL-Final", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
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repo_default.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
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repo_default.set_adapters("base")
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repo_pixel = StableDiffusionXLPipeline.from_pretrained("fluently/Fluently-XL-Final", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
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repo_pixel.load_lora_weights("artificialguybr/PixelArtRedmond", adapter_name="base")
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@@ -106,6 +107,7 @@ def generate(input=DEFAULT_INPUT, filter_input="", negative_input=DEFAULT_NEGATI
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"guidance_scale": guidance,
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"num_images_per_prompt": number,
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"generator": torch.Generator().manual_seed(seed),
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"use_resolution_binning": True,
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"output_type":"pil",
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}
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repo_default = StableDiffusionXLPipeline.from_pretrained("fluently/Fluently-XL-Final", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
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repo_default.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
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#repo_default.set_adapters("base")
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repo_default.set_adapters(["base"], adapter_weights=[0.7])
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repo_pixel = StableDiffusionXLPipeline.from_pretrained("fluently/Fluently-XL-Final", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
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repo_pixel.load_lora_weights("artificialguybr/PixelArtRedmond", adapter_name="base")
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"guidance_scale": guidance,
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"num_images_per_prompt": number,
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"generator": torch.Generator().manual_seed(seed),
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"cross_attention_kwargs": {"scale": 1},
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"use_resolution_binning": True,
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"output_type":"pil",
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}
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