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import gradio as gr
from diffusers import StableDiffusionPipeline
import torch
# Model load
pipe = StableDiffusionPipeline.from_pretrained(
"Linaqruf/anything-v3.0",
torch_dtype=torch.float16,
revision="fp16",
safety_checker=None
).to("cuda" if torch.cuda.is_available() else "cpu")
def generate_thumbnail(prompt):
image = pipe(prompt, height=512, width=512).images[0]
return image
# Gradio UI
iface = gr.Interface(
fn=generate_thumbnail,
inputs=gr.Textbox(label="Thumbnail Prompt"),
outputs=gr.Image(label="Generated Thumbnail"),
title="Anime Thumbnail Generator",
description="Generate thumbnails using Linaqruf/anything-v3.0 model"
)
iface.launch()
from diffusers import StableDiffusionPipeline
import torch
pipe = StableDiffusionPipeline.from_pretrained(
"Linaqruf/anything-v3.0",
torch_dtype=torch.float16, # ✅ यह सही है
use_auth_token=True # या HF_TOKEN अगर Space में चला रहे हो
).to("cuda")
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