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ec7aa7f 4b2d313 ec7aa7f 4b2d313 068fbf9 20c002b 2c20294 2bab27d 068fbf9 2bab27d 2c20294 2bab27d 20c002b 2c20294 2bab27d 20c002b 4b2d313 2bab27d 20c002b | 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 | import gradio as gr
from diffusers import DiffusionPipeline
import torch
pipe = DiffusionPipeline.from_pretrained(
"AMRDIAB20/sd15-charify-merged"
)
def generate(prompt, guidance):
image = pipe(
prompt,
num_inference_steps=30, # ✅ عدد خطوات ثابت
guidance_scale=guidance,
height=512,
width=512
).images[0]
return image
gr.Interface(
fn=generate,
inputs=[
gr.Textbox(label="Prompt", value="Charify-style, cartoon character"),
gr.Slider(1.0, 12.0, value=7.5, label="Guidance Scale")
],
outputs=gr.Image(type="pil"),
title="Charify-style, cartoon character",
description="Charify-style, cartoon character, using the merged Charify LoRA model."
).launch()
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