Upload 4 files
Browse files- README.md +4 -6
- app.py +50 -0
- requirements.txt +2 -0
- weights.pt +3 -0
README.md
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---
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title:
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sdk: gradio
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sdk_version: 5.12.0
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app_file: app.py
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license: mit
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short_description: a GAN trained on the first 40k images of CrypkoHQ dataset
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: Crypko GAN
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emoji: 🦋
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colorFrom: green
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colorTo: purple
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sdk: gradio
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sdk_version: 5.12.0
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app_file: app.py
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license: mit
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short_description: a GAN trained on the first 40k images of CrypkoHQ dataset
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---
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app.py
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import gradio as gr
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import torch
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import torch.nn as nn
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def Generator():
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up_conv_block = lambda c_in, c_out: [
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nn.Upsample(None, 2, 'bilinear'),
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nn.LeakyReLU(0.1, True),
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nn.Conv2d(c_in, c_in, 3, 1, 1),
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nn.LeakyReLU(0.1, True),
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nn.Conv2d(c_in, c_in, 3, 1, 1),
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nn.LeakyReLU(0.1, True),
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nn.Conv2d(c_in, c_out, 3, 1, 1),
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]
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return nn.Sequential(
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nn.Linear(256, 1024),
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nn.LeakyReLU(0.1, True),
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nn.Linear(1024, 9216),
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nn.LayerNorm(9216, 1e-6, False),
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nn.Unflatten(1, (1024, 3, 3)),
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*up_conv_block(1024, 512),
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*up_conv_block(512, 256),
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*up_conv_block(256, 128),
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*up_conv_block(128, 64),
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*up_conv_block(64, 3),
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nn.Sigmoid(),
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)
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model = Generator().requires_grad_(False).eval()
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model.load_state_dict(torch.load('weights.pt'))
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p = 2147483647
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def gen(state):
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state = max(round(state), 1)
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x = torch.empty(1, 256, dtype=torch.float64)
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for i in range(256):
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state = state * 48271 % p
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x[0, i] = float(state) / p
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x = torch.special.ndtri(x).float()
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y = model(x).mul(255).round().byte()
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img = y[0].permute(1, 2, 0).numpy()
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return state, img
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with gr.Blocks() as demo:
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state_slider = gr.Slider(1, p - 1, 4, step=1, label='PRNG State')
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img_output = gr.Image(label="Generated Image", format='png')
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click_btn = gr.Button('Generate')
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click_btn.click(fn=gen, inputs=state_slider, outputs=[state_slider, img_output])
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demo.launch()
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requirements.txt
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numpy<2
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torch
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weights.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:74a2f72c3a5b3f871fde063dded4817de266e02abcf62cbeb8973312416ae348
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size 82259874
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