app.py

import gradio as gr
import torch
from diffusers import StableDiffusionImg2ImgPipeline
from torchvision import transforms
from PIL import Image
import io
import base64
import spaces

# Load Ghibli model
pipe_ghibli = StableDiffusionImg2ImgPipeline.from_pretrained(
    "nitrosocke/Ghibli-Diffusion",
    torch_dtype=torch.float16,
    use_safetensors=True
).to("cuda")

# Load AnimeGANv2 model
animegan = torch.hub.load(
    "bryandlee/animegan2-pytorch:main",
    "generator",
    pretrained="face_paint_512_v2"
).to("cuda").eval()

# Base64 conversion helpers
def pil_to_b64(img: Image.Image) -> str:
    buf = io.BytesIO()
    img.save(buf, format="PNG")
    return base64.b64encode(buf.getvalue()).decode()

def b64_to_pil(b64: str) -> Image.Image:
    return Image.open(io.BytesIO(base64.b64decode(b64))).convert("RGB")

# AnimeGAN processor
def apply_animegan(img: Image.Image) -> Image.Image:
    transform = transforms.Compose([
        transforms.Resize((512, 512)),
        transforms.ToTensor()
    ])
    img_tensor = transform(img).unsqueeze(0).to("cuda")
    with torch.no_grad():
        out = animegan(img_tensor)[0].clamp(0, 1).cpu()
    return transforms.ToPILImage()(out)

# Unified image processor
def process_image(img: Image.Image, effect: str) -> Image.Image:
    if effect == "ghibli":
        return pipe_ghibli(prompt="ghibli style", image=img, strength=0.5, guidance_scale=7.5).images[0]
    else:
        return apply_animegan(img)

@spaces.GPU
def process_base64(b64: str, effect: str) -> str:
    img = b64_to_pil(b64)
    out = process_image(img, effect)
    return pil_to_b64(out)

# Gradio UI
with gr.Blocks() as demo:
    gr.Markdown("# 🎨 Ghibli & AnimeGAN Effects (ZeroGPU Compatible)")

    with gr.Tab("Web UI"):
        inp = gr.Image(type="pil", label="Upload Image")
        eff = gr.Radio(["ghibli", "anime"], label="Select Effect")
        btn = gr.Button("Apply Effect")
        out_img = gr.Image(label="Output Image")
        btn.click(process_image, [inp, eff], out_img)

    with gr.Tab("Base64 API"):
        b64_in = gr.Textbox(label="Input Image (Base64)", lines=5)
        eff2 = gr.Radio(["ghibli", "anime"], label="Select Effect")
        btn2 = gr.Button("Run API")
        b64_out = gr.Textbox(label="Output Image (Base64)", lines=5)
        btn2.click(process_base64, [b64_in, eff2], b64_out)

demo.launch()