gguf quantized version of lumina

• run it straight with gguf-connector

ggc l2

GGUF file(s) available. Select which one to use:

1. lumina2-q2_k.gguf

2. lumina2-q4_0.gguf

3. lumina2-q8_0.gguf

Enter your choice (1 to 3): _

• opt a gguf file in your current directory to interact with; nothing else
• you will get the image output in few seconds even with the beginner level gpu

!screenshot

run it with gguf-node via comfyui

• drag lumina2 (opt anyone you like) to > ./ComfyUI/models/diffusion_models
• drag gemma2-2b [2.32GB] and tokenizer [4.24MB] to > ./ComfyUI/models/text_encoders
• drag pig [168MB] to > ./ComfyUI/models/vae

!screenshot

reference

• base model from alpha-vllm
• finetune model from neta-art
• gemma-2-2b (act as text encoder) from google
• flux.1-dev vae (act as vae decoder) from black-forest-labs
• comfyui from comfyanonymous
• pig architecture from connector
• gguf-node (pypi|repo|pack)
• gguf-connector (pypi)