Text-to-Image
Cosmos
Diffusers
Safetensors
cosmos3_omni
cortex
cortexlm
nvidia
cosmos3
image-generation
preview
vllm-omni
sglang
sglang-diffusion
Instructions to use CortexLM/Cortex-Image-1-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use CortexLM/Cortex-Image-1-Preview 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 CortexLM/Cortex-Image-1-Preview with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CortexLM/Cortex-Image-1-Preview", 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 vocab.json from CortexLM/Cortex-Image-1-Preview: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/CortexLM/Cortex-Image-1-Preview/resolve/main/vocab.json
- Command line
-
hf download hf://CortexLM/Cortex-Image-1-Preview/vocab.json
-
curl -L -o vocab.json https://huggingface.co/CortexLM/Cortex-Image-1-Preview/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.