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
File size: 563 Bytes
1017817 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | {
"_class_name": "RoboTransferPipeline",
"_diffusers_version": "0.34.0",
"depth_guider_net": [
"guider",
"GuiderNet"
],
"feature_extractor": [
"transformers",
"CLIPImageProcessor"
],
"image_encoder": [
"transformers",
"CLIPVisionModelWithProjection"
],
"normal_guider_net": [
"guider",
"GuiderNet"
],
"scheduler": [
"diffusers",
"EulerDiscreteScheduler"
],
"unet": [
"diffusers",
"UNetSpatioTemporalConditionModel"
],
"vae": [
"diffusers",
"AutoencoderKLTemporalDecoder"
]
}
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