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import torch
from diffusers import StableDiffusion3Pipeline
from huggingface_hub import login
import os
import gradio as gr
# Retrieve the token from the environment variable
token = os.getenv("HF_TOKEN") # Hugging Face token from the secret
if token:
login(token=token) # Log in with the retrieved token
else:
raise ValueError("Hugging Face token not found. Please set it as a repository secret in the Space settings.")
# Load the Stable Diffusion 3.5 model
model_id = "stabilityai/stable-diffusion-3.5-large"
pipe = StableDiffusion3Pipeline.from_pretrained(model_id) # No LoRA integration
pipe.to("cpu") # Ensuring it runs on CPU
# Function to generate an image from a text prompt
def generate_image(prompt):
image = pipe(prompt).images[0]
return image
# Gradio interface
iface = gr.Interface(fn=generate_image, inputs="text", outputs="image")
iface.launch()
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