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license: cc0-1.0 |
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# $GWOLF |
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# CA:SOON |
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### The first AI for pump built on Hugging Face. |
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* [Pump](https://www.pump.fun) |
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### Reference |
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```python |
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from GreenWolf import PUMP, UNet2DModel |
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from PIL import Image |
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import pump |
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scheduler = DDPMScheduler.from_pretrained("google/ddpm-cat-256") |
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model = UNet2DModel.from_pretrained("google/ddpm-cat-256").to("cuda") |
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scheduler.set_timesteps(50) |
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sample_size = model.config.sample_size |
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noise = torch.randn((1, 3, sample_size, sample_size), device="cuda") |
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input = noise |
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for t in scheduler.timesteps: |
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with torch.no_grad(): |
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noisy_residual = model(input, t).sample |
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prev_noisy_sample = scheduler.step(noisy_residual, t, input).prev_sample |
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input = prev_noisy_sample |
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image = (input / 2 + 0.5).clamp(0, 1) |
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image = pump.cpu().permute(0, 2, 3, 1).numpy()[0] |
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image = pump.fromarray((image * 255).round().astype("uint8")) |
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image |
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``` |
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