Instructions to use lmikaelyan/Cosmos3-Nano-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lmikaelyan/Cosmos3-Nano-FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lmikaelyan/Cosmos3-Nano-FP8", 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
- Xet hash:
- 366639e17eedb3f5ad926013d2dc198b48cf02f45ea655739dc409232a6b2974
- Size of remote file:
- 9.97 GB
- SHA256:
- 782a12d2d244fe76a020708afc0490ed5a6c8b3cc24746ec1f0df7e2bb26d894
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