Video-to-Video
Diffusers
Safetensors
robotics
video-generation
diffusion
action-conditioned
dreamdojo
cosmos-predict2.5
Instructions to use Physis-AI/DreamDojo-AgiBot-14B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Physis-AI/DreamDojo-AgiBot-14B-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-14B-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
| { | |
| "model_type": "dreamdojo", | |
| "model_channels": 5120, | |
| "num_heads": 40, | |
| "num_blocks": 36, | |
| "in_channels": 16, | |
| "out_channels": 16, | |
| "patch_spatial": 2, | |
| "patch_temporal": 1, | |
| "crossattn_emb_channels": 1024, | |
| "crossattn_proj_in_channels": 100352, | |
| "use_crossattn_projection": true, | |
| "use_adaln_lora": true, | |
| "adaln_lora_dim": 256, | |
| "action_dim": 384, | |
| "num_action_per_latent_frame": 4, | |
| "motion_consistency_dim": 1, | |
| "motion_consistency_weight": 0.1, | |
| "condition_model_type": "DreamDojoConditionModel", | |
| "tie_word_embeddings": false, | |
| "timestep_scale": 1.0 | |
| } | |