Instructions to use lsmpp/kontextrefiner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lsmpp/kontextrefiner with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lsmpp/kontextrefiner", 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
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| # Utilities | |
| Utility and helper functions for working with 🤗 Diffusers. | |
| ## numpy_to_pil | |
| [[autodoc]] utils.numpy_to_pil | |
| ## pt_to_pil | |
| [[autodoc]] utils.pt_to_pil | |
| ## load_image | |
| [[autodoc]] utils.load_image | |
| ## export_to_gif | |
| [[autodoc]] utils.export_to_gif | |
| ## export_to_video | |
| [[autodoc]] utils.export_to_video | |
| ## make_image_grid | |
| [[autodoc]] utils.make_image_grid | |
| ## randn_tensor | |
| [[autodoc]] utils.torch_utils.randn_tensor | |
| ## apply_layerwise_casting | |
| [[autodoc]] hooks.layerwise_casting.apply_layerwise_casting | |
| ## apply_group_offloading | |
| [[autodoc]] hooks.group_offloading.apply_group_offloading | |