Instructions to use predictia/cerra_denoise_nn_pixel-scaled_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use predictia/cerra_denoise_nn_pixel-scaled_large with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("predictia/cerra_denoise_nn_pixel-scaled_large", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from predictia/cerra_denoise_nn_pixel-scaled_large: direct link, hf CLI and curl.
- Browser
- Download file 2.04 MB
-
https://huggingface.co/predictia/cerra_denoise_nn_pixel-scaled_large/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://predictia/cerra_denoise_nn_pixel-scaled_large/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/predictia/cerra_denoise_nn_pixel-scaled_large/resolve/main/diffusion_pytorch_model.bin
2.04 MB
- Xet hash:
- ca70a443991afa3a4e308fd7832c9201043741b3985b352dd002f749d142990e
- Size of remote file:
- 2.04 MB
- SHA256:
- 520a66f88647fc5372ae5132ad72e51e058d6af2af241d25b8aa1400584a3094
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