Instructions to use city96/Cosmos-Predict2-14B-Text2Image-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use city96/Cosmos-Predict2-14B-Text2Image-gguf 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
- Diffusers
How to use city96/Cosmos-Predict2-14B-Text2Image-gguf with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("city96/Cosmos-Predict2-14B-Text2Image-gguf", 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
Download cosmos-predict2-14b-text2image-BF16.gguf from city96/Cosmos-Predict2-14B-Text2Image-gguf: direct link, hf CLI and curl.
- Browser
- Download file 28.5 GB
-
https://huggingface.co/city96/Cosmos-Predict2-14B-Text2Image-gguf/resolve/0c7f23e89923a7778a1d76bd00a962bf51fcdc7f/cosmos-predict2-14b-text2image-BF16.gguf
- Command line
-
hf download hf://city96/Cosmos-Predict2-14B-Text2Image-gguf@0c7f23e89923a7778a1d76bd00a962bf51fcdc7f/cosmos-predict2-14b-text2image-BF16.gguf
-
curl -L -o cosmos-predict2-14b-text2image-BF16.gguf https://huggingface.co/city96/Cosmos-Predict2-14B-Text2Image-gguf/resolve/0c7f23e89923a7778a1d76bd00a962bf51fcdc7f/cosmos-predict2-14b-text2image-BF16.gguf
28.5 GB
- Xet hash:
- 20706d57392f674b7a4313b75d38d5e82bbb844b0ba49d05e3f1497e1ccc9cc8
- Size of remote file:
- 28.5 GB
- SHA256:
- 344e67faf333b7849fa94290c9028bdd5e40eb19700754c833cda0423bc10ad0
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