Add files

.gitattributes

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+*.jpg filter=lfs diff=lfs merge=lfs -text
 *.7z filter=lfs diff=lfs merge=lfs -text
 *.arrow filter=lfs diff=lfs merge=lfs -text
 *.bin filter=lfs diff=lfs merge=lfs -text

.gitmodules

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+[submodule "projected_gan"]
+	path = projected_gan
+	url = https://github.com/autonomousvision/projected_gan

app.py

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+#!/usr/bin/env python
+
+from __future__ import annotations
+
+import argparse
+import functools
+import os
+import pickle
+import sys
+
+sys.path.insert(0, 'projected_gan')
+
+import gradio as gr
+import numpy as np
+import torch
+import torch.nn as nn
+from huggingface_hub import hf_hub_download
+
+ORIGINAL_REPO_URL = 'https://github.com/autonomousvision/projected_gan'
+TITLE = 'autonomousvision/projected_gan'
+DESCRIPTION = f'This is a demo for {ORIGINAL_REPO_URL}.'
+SAMPLE_IMAGE_DIR = 'https://huggingface.co/spaces/hysts/projected_gan/resolve/main/samples'
+ARTICLE = f'''## Generated images
+- truncation: 0.7
+- size: 256x256
+- seed: 0-99
+### Art painting
+![Art painting samples]({SAMPLE_IMAGE_DIR}/art_painting.jpg)
+### Bedroom
+![Bedroom samples]({SAMPLE_IMAGE_DIR}/bedroom.jpg)
+### Church
+![Church samples]({SAMPLE_IMAGE_DIR}/church.jpg)
+### Cityscapes
+![Cityscapes samples]({SAMPLE_IMAGE_DIR}/cityscapes.jpg)
+### CLEVR
+![CLEVR samples]({SAMPLE_IMAGE_DIR}/clevr.jpg)
+### FFHQ
+![FFHQ samples]({SAMPLE_IMAGE_DIR}/ffhq.jpg)
+### Flowers
+![Flowers samples]({SAMPLE_IMAGE_DIR}/flowers.jpg)
+### Landscape
+![Landscape samples]({SAMPLE_IMAGE_DIR}/landscape.jpg)
+### Pokemon
+![Pokemon samples]({SAMPLE_IMAGE_DIR}/pokemon.jpg)
+'''
+
+TOKEN = os.environ['TOKEN']
+
+
+def parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--device', type=str, default='cpu')
+    parser.add_argument('--theme', type=str)
+    parser.add_argument('--live', action='store_true')
+    parser.add_argument('--share', action='store_true')
+    parser.add_argument('--port', type=int)
+    parser.add_argument('--disable-queue',
+                        dest='enable_queue',
+                        action='store_false')
+    parser.add_argument('--allow-flagging', type=str, default='never')
+    parser.add_argument('--allow-screenshot', action='store_true')
+    return parser.parse_args()
+
+
+def generate_z(z_dim: int, seed: int, device: torch.device) -> torch.Tensor:
+    return torch.from_numpy(
+        np.random.RandomState(seed).randn(1,
+                                          z_dim).astype(np.float32)).to(device)
+
+
+@torch.inference_mode()
+def generate_image(model_name: str, seed: int, truncation_psi: float,
+                   model_dict: dict[str, nn.Module],
+                   device: torch.device) -> np.ndarray:
+    model = model_dict[model_name]
+    seed = int(np.clip(seed, 0, np.iinfo(np.uint32).max))
+
+    z = generate_z(model.z_dim, seed, device)
+    label = torch.zeros([1, model.c_dim], device=device)
+
+    out = model(z, label, truncation_psi=truncation_psi)
+    out = (out.permute(0, 2, 3, 1) * 127.5 + 128).clamp(0, 255).to(torch.uint8)
+    return out[0].cpu().numpy()
+
+
+def load_model(model_name: str, device: torch.device) -> nn.Module:
+    path = hf_hub_download('hysts/projected_gan',
+                           f'models/{model_name}.pkl',
+                           use_auth_token=TOKEN)
+    with open(path, 'rb') as f:
+        model = pickle.load(f)['G_ema']
+    model.eval()
+    model.to(device)
+    with torch.inference_mode():
+        z = torch.zeros((1, model.z_dim)).to(device)
+        label = torch.zeros([1, model.c_dim], device=device)
+        model(z, label)
+    return model
+
+
+def main():
+    gr.close_all()
+
+    args = parse_args()
+    device = torch.device(args.device)
+
+    model_names = [
+        'art_painting',
+        'church',
+        'bedroom',
+        'cityscapes',
+        'clevr',
+        'ffhq',
+        'flowers',
+        'landscape',
+        'pokemon',
+    ]
+
+    model_dict = {name: load_model(name, device) for name in model_names}
+
+    func = functools.partial(generate_image,
+                             model_dict=model_dict,
+                             device=device)
+    func = functools.update_wrapper(func, generate_image)
+
+    gr.Interface(
+        func,
+        [
+            gr.inputs.Radio(
+                model_names, type='value', default='pokemon', label='Model'),
+            gr.inputs.Number(default=0, label='Seed'),
+            gr.inputs.Slider(
+                0, 2, step=0.05, default=0.7, label='Truncation psi'),
+        ],
+        gr.outputs.Image(type='numpy', label='Output'),
+        title=TITLE,
+        description=DESCRIPTION,
+        article=ARTICLE,
+        theme=args.theme,
+        allow_screenshot=args.allow_screenshot,
+        allow_flagging=args.allow_flagging,
+        live=args.live,
+    ).launch(
+        enable_queue=args.enable_queue,
+        server_port=args.port,
+        share=args.share,
+    )
+
+
+if __name__ == '__main__':
+    main()

projected_gan

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+Subproject commit e1c246b8bdce4fac3c2bfcb69df309fc27df9b86

requirements.txt

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+numpy==1.22.3
+Pillow==9.0.1
+scipy==1.8.0
+torch==1.10.2
+torchvision==0.11.3