Instructions to use FastVideo/Waypoint-1-Small-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/Waypoint-1-Small-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/Waypoint-1-Small-Diffusers", 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
| { | |
| "_class_name": "WorldEngineVAE", | |
| "_diffusers_version": "0.36.0.dev0", | |
| "auto_map": { | |
| "AutoModel": "ae_model.WorldEngineVAE" | |
| }, | |
| "sample_size": [ | |
| 360, | |
| 640 | |
| ], | |
| "channels": 3, | |
| "latent_channels": 16, | |
| "encoder_ch_0": 64, | |
| "encoder_ch_max": 256, | |
| "encoder_blocks_per_stage": [ | |
| 1, | |
| 1, | |
| 1, | |
| 1 | |
| ], | |
| "decoder_ch_0": 128, | |
| "decoder_ch_max": 1024, | |
| "decoder_blocks_per_stage": [ | |
| 1, | |
| 1, | |
| 1, | |
| 1 | |
| ], | |
| "use_middle_block": false, | |
| "skip_logvar": false, | |
| "scale_factor": 1.0, | |
| "shift_factor": 0.0 | |
| } | |