Video-to-Video
Diffusers
Safetensors
robotics
video-generation
diffusion
action-conditioned
dreamdojo
cosmos-predict2.5
Instructions to use Physis-AI/DreamDojo-Pretrain-2B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Physis-AI/DreamDojo-Pretrain-2B-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("Physis-AI/DreamDojo-Pretrain-2B-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
Upload folder using huggingface_hub
Browse files
README.md
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Base model trained on diverse video data. Part of the [DreamDojo](https://github.com/NVIDIA/DreamDojo) model family.
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| **Size** | 2B |
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| **Stage** | Pre-training |
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Base model trained on diverse video data. Part of the [DreamDojo](https://github.com/NVIDIA/DreamDojo) model family.
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| **Size** | 2B |
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| **Stage** | Pre-training |
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