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Update app.py
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app.py
CHANGED
@@ -1,24 +1,28 @@
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from diffusers import StableDiffusionPipeline
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import gradio as gr
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pipe = StableDiffusionPipeline.from_pretrained("nitrosocke/Arcane-Diffusion")
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def inference(prompt, guidance, steps):
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all_images = []
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images = pipe([prompt] * 1, num_inference_steps=int(steps), guidance_scale=guidance, width=512, height=512).images
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all_images.extend(images)
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return all_images
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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prompt = gr.Textbox(label="prompt")
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guidance = gr.Slider(label="guidance scale", value=7.5, maximum=15)
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steps = gr.Slider(label="steps", value=50, maximum=100, minimum=2)
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run = gr.Button(value="Run")
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with gr.Column():
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gallery = gr.Gallery(
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run.click(inference, inputs=[prompt, guidance, steps], outputs=gallery)
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gr.Examples([
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@@ -27,7 +31,7 @@ with gr.Blocks() as demo:
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["portrait of a beautiful alyx vance half life, volume lighting, concept art, by greg rutkowski!!, colorful, xray melting colors!!, arcane style", 7, 50],
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["Aloy from Horizon: Zero Dawn, half body portrait, videogame cover art, highly detailed, digital painting, artstation, concept art, smooth, detailed armor, sharp focus, beautiful face, illustration, art by Artgerm and greg rutkowski and alphonse mucha, arcane style", 7, 50],
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["fantasy portrait painting, digital art, arcane style", 4, 30],
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], [prompt, guidance, steps], gallery, inference, cache_examples=
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demo.queue()
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demo.launch()
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from diffusers import StableDiffusionPipeline
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import gradio as gr
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import torch
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from utils import device
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pipe = StableDiffusionPipeline.from_pretrained("nitrosocke/Arcane-Diffusion", torch_dtype=torch.float16)
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if torch.cuda.is_available():
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pipe = pipe.to("cuda")
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def inference(prompt, guidance, steps):
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all_images = []
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images = pipe([prompt] * 1, num_inference_steps=int(steps), guidance_scale=guidance, width=512, height=512).images
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all_images.extend(images)
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return all_images
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with gr.Blocks() as demo:
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with gr.Row():
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gr.Markdown(f"Running on: {device}")
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with gr.Column():
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prompt = gr.Textbox(label="prompt")
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guidance = gr.Slider(label="guidance scale", value=7.5, maximum=15)
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steps = gr.Slider(label="steps", value=50, maximum=100, minimum=2)
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run = gr.Button(value="Run")
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with gr.Column():
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gallery = gr.Gallery()
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run.click(inference, inputs=[prompt, guidance, steps], outputs=gallery)
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gr.Examples([
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["portrait of a beautiful alyx vance half life, volume lighting, concept art, by greg rutkowski!!, colorful, xray melting colors!!, arcane style", 7, 50],
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["Aloy from Horizon: Zero Dawn, half body portrait, videogame cover art, highly detailed, digital painting, artstation, concept art, smooth, detailed armor, sharp focus, beautiful face, illustration, art by Artgerm and greg rutkowski and alphonse mucha, arcane style", 7, 50],
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["fantasy portrait painting, digital art, arcane style", 4, 30],
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], [prompt, guidance, steps], gallery, inference, cache_examples=torch.cuda.is_available())
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demo.queue()
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demo.launch()
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