Video-to-Video
Diffusers
Safetensors
robotics
video-generation
diffusion
action-conditioned
dreamdojo
cosmos-predict2.5
Instructions to use Physis-AI/DreamDojo-GR1-2B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Physis-AI/DreamDojo-GR1-2B-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-GR1-2B-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
Download text_encoder/tokenizer.json from Physis-AI/DreamDojo-GR1-2B-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 7.03 MB
-
https://huggingface.co/Physis-AI/DreamDojo-GR1-2B-Diffusers/resolve/main/text_encoder/tokenizer.json
- Command line
-
hf download hf://Physis-AI/DreamDojo-GR1-2B-Diffusers/text_encoder/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Physis-AI/DreamDojo-GR1-2B-Diffusers/resolve/main/text_encoder/tokenizer.json
7.03 MB
File too large to display, you can check the raw version instead.