Instructions to use HorizonRobotics/RoboTransfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HorizonRobotics/RoboTransfer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HorizonRobotics/RoboTransfer", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
Download vae/config.json from HorizonRobotics/RoboTransfer: direct link, hf CLI and curl.
- Browser
- Download file 449 Bytes
-
https://huggingface.co/HorizonRobotics/RoboTransfer/resolve/7095495b9c1faffc1dea02bcb0bb3ecfdcf527bb/vae/config.json
- Command line
-
hf download hf://HorizonRobotics/RoboTransfer@7095495b9c1faffc1dea02bcb0bb3ecfdcf527bb/vae/config.json
-
curl -L -o config.json https://huggingface.co/HorizonRobotics/RoboTransfer/resolve/7095495b9c1faffc1dea02bcb0bb3ecfdcf527bb/vae/config.json
449 Bytes
| { | |
| "_class_name": "AutoencoderKLTemporalDecoder", | |
| "_diffusers_version": "0.34.0", | |
| "block_out_channels": [ | |
| 128, | |
| 256, | |
| 512, | |
| 512 | |
| ], | |
| "down_block_types": [ | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D" | |
| ], | |
| "force_upcast": true, | |
| "in_channels": 3, | |
| "latent_channels": 4, | |
| "layers_per_block": 2, | |
| "out_channels": 3, | |
| "sample_size": 768, | |
| "scaling_factor": 0.18215 | |
| } | |