Upload app.py

app.py

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+import gradio as gr
+import torch
+from diffusers import KolorsPipeline
+
+pipeline= KolorsPipeline.from_pretrained(
+    "Kwai-Kolors/Kolors-diffusers", 
+    torch_dtype=torch.float16, 
+    variant="fp16"
+).to("cuda" if torch.cuda.is_available() else "cpu")
+
+# Function to generate image from prompt
+def generate_image(prompt):
+    # Use the pipeline to generate an image from the text prompt
+    image = pipeline(prompt).images[0]
+    return image
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=generate_image,                # Function that generates the image
+    inputs=gr.Textbox(lines=2, placeholder="Enter your prompt"),  # Textbox input for the prompt
+    outputs="image",                  # Output is an image
+    title="Kwai-Kolors Image Generator",
+    description="Generate images from text prompts using the Kwai-Kolors diffusion model."
+)
+
+# Launch the app
+iface.launch()