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", torch_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
Epoch 10
Browse files
diffusion_pytorch_model.bin
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logs/Train Denoising Diffusion Model/events.out.tfevents.1691156410.5562ac1d6f58.867767.0
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