gguf/fp8 quantized version of video2world and text2world (test in progress)

setup (once)

• drag cosmos-7b-text2world-q4_k_m.gguf [4.07GB] to > ./ComfyUI/models/diffusion_models
• drag oldt5_xxl_fp8_e4m3fn.safetensors [4.9GB] to > ./ComfyUI/models/text_encoders
• drag cosmos_cv8x8x8_1.0_vae_bf16.safetensors [211MB] to > ./ComfyUI/models/vae

run it straight (no installation needed way)

• run the .bat file in the main directory (assuming you are using the gguf-node pack below)
• drag the workflow json file (below), or the sample webp file, to > your browser

workflow

• example workflow for text2world
• example workflow for video2world

review

• working roughly; but not very stable/consistent for the time being
• gguf with pig architecture is working right away; welcome to test

reference

• base model from nvidia (text2world:7b|14b & video2world:7b|14b)
• pig architecture from connector
• comfyui from comfyanonymous
• gguf-node (pypi|repo|pack)