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import torch
import gradio as gr
from diffusers import StableDiffusionXLPipeline
from PIL import Image
from io import BytesIO
import os
import requests
import time
from tqdm import tqdm
# Load local Stable Diffusion XL model
model_path = "networks/TShirtDesignRedmondV2-Tshirtdesign-TshirtDesignAF.safetensors"
pipe = StableDiffusionXLPipeline.from_single_file(
model_path,
torch_dtype=torch.float16,
use_safetensors=True,
)
pipe = pipe.to("cuda")
def infer(color_prompt, dress_type_prompt, design_prompt):
prompt = (
f"A single {color_prompt} colored {dress_type_prompt} featuring a bold {design_prompt} design printed on the {dress_type_prompt},"
" hanging on a plain wall. The soft light and shadows create a striking contrast against the minimal background, evoking modern sophistication."
)
print("Generating image locally with prompt:", prompt)
try:
image = pipe(prompt).images[0]
return image
except Exception as e:
print("Local generation failed.", str(e))
return None
# Gradio Interface
iface = gr.Interface(
fn=infer,
inputs=[
gr.Textbox(lines=1, placeholder="Color"),
gr.Textbox(lines=1, placeholder="Dress Type"),
gr.Textbox(lines=2, placeholder="Design"),
],
outputs="image",
title="AI-Generated T-Shirt Designs",
description="Generate custom t-shirt designs using AI!",
examples=[["Red", "T-shirt", "Minimalistic logo"]]
)
print("Launching Gradio interface...")
iface.launch() |