Instructions to use predictia/cerra_denoise_convswin2sr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use predictia/cerra_denoise_convswin2sr 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_convswin2sr", 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
| diffusion_0H_01-01-2015_1000steps_10epoch_scaled.gif filter=lfs diff=lfs merge=lfs -text | |
| diffusion_0H_01-01-2015_1000steps_10epoch.gif filter=lfs diff=lfs merge=lfs -text | |
| diffusion_0H_01-01-2015_1000steps_15epoch_scaled.gif filter=lfs diff=lfs merge=lfs -text | |
| diffusion_0H_01-01-2015_1000steps_15epoch.gif filter=lfs diff=lfs merge=lfs -text | |
| diffusion_0H_01-01-2015_1000steps_20epoch_scaled.gif filter=lfs diff=lfs merge=lfs -text | |
| diffusion_0H_01-01-2015_1000steps_20epoch.gif filter=lfs diff=lfs merge=lfs -text | |
| diffusion_0H_01-01-2015_1000steps_5epoch_scaled.gif filter=lfs diff=lfs merge=lfs -text | |
| diffusion_0H_01-01-2015_1000steps_5epoch.gif filter=lfs diff=lfs merge=lfs -text | |
| diffusion_pytorch_model.safetensors filter=lfs diff=lfs merge=lfs -text | |
| logs/Train[[:space:]]Denoising[[:space:]]Diffusion[[:space:]]Model/events.out.tfevents.1694680281.ebed10aef8f5.220387.0 filter=lfs diff=lfs merge=lfs -text | |