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HomeLLMscosmos predict2 gguf

cosmos predict2 gguf

by calcuis

Open source · 4k downloads · 32 likes

1.9
(32 reviews)ImageAPI & Local
About

Cosmos Predict2 GGUF is a quantized and optimized version of the Cosmos Predict2 AI model, available in two sizes (2 billion and 14 billion parameters). Designed to generate images from text, it seamlessly integrates with environments like ComfyUI and uses the GGUF format, which is lighter and compatible with modern tools. Its key strengths lie in its ability to produce detailed and coherent visuals from text descriptions while offering greater flexibility through compatibility with GGUF encoders and decoders. The model stands out for its ease of use, lack of heavy dependencies like safetensors files, and its adaptability to automated image generation workflows. Ideal for artists, developers, or content creators seeking to leverage generative AI without excessive technical complexity.

Documentation

gguf quantized version of cosmos-predict2 (incl. 2b and 14b)

  • drag cosmos to > ./ComfyUI/models/diffusion_models
  • drag t5xxl-old to > ./ComfyUI/models/text_encoders
  • drag pig to > ./ComfyUI/models/vae

screenshot

screenshot

  • don't need safetensors anymore; all gguf (model + encoder + vae)
  • full set gguf works on gguf-node (see the last item from reference below)
  • get more t5xxl-old gguf encoder either here or here
  • note (for internal use) - ex: extra state excluded; ex3: ex + pos_embedder x 3 excluded

reference

  • base model from nvidia
  • comfyui from comfyanonymous
  • gguf-node (pypi|repo|pack)
Capabilities & Tags
ggufgguf-nodetext-to-image
Links & Resources
Specifications
CategoryImage
AccessAPI & Local
LicenseOpen Source
PricingOpen Source
Rating
1.9

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