Video-to-Video
Diffusers
Safetensors
robotics
video-generation
diffusion
action-conditioned
dreamdojo
cosmos-predict2.5
Instructions to use Physis-AI/DreamDojo-AgiBot-2B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Physis-AI/DreamDojo-AgiBot-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-AgiBot-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
| { | |
| "architectures": [ | |
| "DreamDojoLAM" | |
| ], | |
| "dec_blocks": 24, | |
| "dropout": 0.0, | |
| "dtype": "bfloat16", | |
| "enc_blocks": 24, | |
| "in_dim": 3, | |
| "latent_dim": 32, | |
| "model_dim": 1024, | |
| "model_type": "dreamdojo_lam", | |
| "num_heads": 16, | |
| "patch_size": 16, | |
| "transformers_version": "4.57.3" | |
| } | |