Instructions to use romainhardy/ColonCrafter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use romainhardy/ColonCrafter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="romainhardy/ColonCrafter")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("romainhardy/ColonCrafter", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "unet_path": "tencent/DepthCrafter", | |
| "pretrained_path": "stabilityai/stable-video-diffusion-img2vid-xt", | |
| "lora_rank": 16, | |
| "lora_target_modules": [ | |
| "to_q", | |
| "to_k", | |
| "to_v", | |
| "to_out.0" | |
| ], | |
| "lora_dropout": 0.1 | |
| } |