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d2adf52 7b9863b d2adf52 7b9863b 68b1542 7b9863b 68b1542 7b9863b 68b1542 7b9863b d2adf52 7b9863b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | import gradio as gr
from diffusers import StableDiffusionImg2ImgPipeline, StableDiffusionPipeline
import torch
# Text-to-Image pipeline
txt2img_pipe = StableDiffusionPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0",
torch_dtype=torch.float16
).to("cuda")
# Image-to-Image pipeline
img2img_pipe = StableDiffusionImg2ImgPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0",
torch_dtype=torch.float16
).to("cuda")
# Text-to-Image function
def text_to_image(prompt):
if not prompt:
return None
image = txt2img_pipe(prompt).images[0]
return image
# Image-to-Image function
def image_to_image(image, prompt):
if image is None or not prompt:
return None
output = img2img_pipe(prompt=prompt, image=image, strength=0.75).images[0]
return output
# Gradio Interface with Tabs
with gr.Blocks() as demo:
with gr.Tab("Text → Image"):
txt_prompt = gr.Textbox(label="Enter prompt")
txt_output = gr.Image(label="Generated Image")
txt_btn = gr.Button("Generate")
txt_btn.click(fn=text_to_image, inputs=txt_prompt, outputs=txt_output)
with gr.Tab("Image + Text → Image"):
img_input = gr.Image(label="Upload image")
img_prompt = gr.Textbox(label="Enter prompt")
img_output = gr.Image(label="Modified Image")
img_btn = gr.Button("Generate")
img_btn.click(fn=image_to_image, inputs=[img_input, img_prompt], outputs=img_output)
demo.launch()
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