Instructions to use KlingTeam/RoboMaster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KlingTeam/RoboMaster with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KlingTeam/RoboMaster", 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
File size: 669 Bytes
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license: apache-2.0
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# RoboMaster
It synthesizes realistic robotic manipulation video given an initial frame, a prompt, a user-defined object mask, and a collaborative trajectory describing the motion of both robotic arm and manipulated object in decomposed interaction phases. It supports diverse manipulation skills and can generalize to in-the-wild scenarios.
## Usage
This is the implementation based on CogVideoX-5B. Please refer to our [github](https://github.com/KwaiVGI/RoboMaster) for details on usage.
<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63aef2cafcca84593e6682db/M7xBPv-NmqZeCvLRoDlu6.mp4"></video>
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