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Configuration error
Configuration error
Create app.py
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app.py
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import gradio as gr
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import diffusers
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import streamlit as st
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device = "cpu"
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from diffusers import StableDiffusionPipeline
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pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision = "fp16", use_auth_token = st.secrets["USER_TOKEN"])
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pipe = pipe.to("cpu")
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from PIL import Image
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import torch
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def StableDiffusionPipeline (prompt, Guide, iSteps, seed):
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generator = torch.Generator("cpu").manual_seed(seed)
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image = pipe(prompt, num_inference_steps = iSteps, guidence_scale = Guide).images[0]
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return image
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iface = gr.Interface(fn = StableDiffusionPipeline, inputs = [
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gr.Textbox(label = 'Prompt Input Text'),
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gr.Slider(2, 15, value = 7, label = 'Guidence Scale'),
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gr.Slider(10, 100, value = 25, step = 1, label = 'Number of Iterations'),
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gr.Slider(
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label = "Seed",
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minimum = 0,
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maximum = 2147483647,
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step = 1,
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randomize = True)
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],
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outputs = 'image')
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iface.launch()
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