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
import gradio as gr

pipe = StableDiffusionPipeline.from_pretrained(
    "Linaqruf/anything-v3.0",
    torch_dtype=torch.float16,  # यह सिर्फ device-level पर effect करता है
    use_auth_token=True
).to("cuda")

def generate(prompt):
    image = pipe(prompt).images[0]
    return image

gr.Interface(
    fn=generate,
    inputs=gr.Textbox(label="Prompt"),
    outputs=gr.Image(type="pil"),
    title="Anything-v3 Thumbnail Generator"
).launch()