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Update app.py
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app.py
CHANGED
@@ -11,7 +11,7 @@ hf_token = os.environ.get("HF_TOKEN")
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login(token=hf_token)
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MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE =
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vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
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pipeline = StableDiffusionXLPipeline.from_pretrained(
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@@ -144,7 +144,7 @@ with gr.Blocks(css=css) as demo:
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=
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)
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height = gr.Slider(
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@@ -152,7 +152,7 @@ with gr.Blocks(css=css) as demo:
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=
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)
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with gr.Row():
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login(token=hf_token)
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MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 2048
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vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
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pipeline = StableDiffusionXLPipeline.from_pretrained(
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=1024,
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)
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height = gr.Slider(
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=1024,
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)
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with gr.Row():
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