Instructions to use Arsh9210/Cosmos-1.0-Diffusion-7B-Text2World with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use Arsh9210/Cosmos-1.0-Diffusion-7B-Text2World with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- NeMo
How to use Arsh9210/Cosmos-1.0-Diffusion-7B-Text2World with NeMo:
# tag did not correspond to a valid NeMo domain.
- Diffusers
How to use Arsh9210/Cosmos-1.0-Diffusion-7B-Text2World with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Arsh9210/Cosmos-1.0-Diffusion-7B-Text2World", 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
- Xet hash:
- 399dd625a0cc825f8dc3de9c75236eff10a5dd51311c602adeda7ef90bef6a63
- Size of remote file:
- 268 MB
- SHA256:
- fa8ab6458a1c5e34e0a1e2922fd0b589f4ee5063da2ad08b6884322a5393d804
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