Instructions to use Intel/Cosmos3-Nano-int4-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Intel/Cosmos3-Nano-int4-AutoRound with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Intel/Cosmos3-Nano-int4-AutoRound", torch_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
| { | |
| "_class_name": "Cosmos3OmniDiffusersPipeline", | |
| "_diffusers_version": "0.37.1", | |
| "_name_or_path": "/mnt/disk0/lvl/Cosmos3-Nano", | |
| "scheduler": [ | |
| "diffusers", | |
| "UniPCMultistepScheduler" | |
| ], | |
| "sound_tokenizer": [ | |
| "diffusers", | |
| "Cosmos3AVAEAudioTokenizer" | |
| ], | |
| "text_tokenizer": [ | |
| "transformers", | |
| "Qwen2TokenizerFast" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "Cosmos3OmniTransformer" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLWan" | |
| ], | |
| "vision_encoder": [ | |
| "transformers", | |
| "Qwen3VLVisionModel" | |
| ] | |
| } | |