calcuis/pixart
71.6k
gguf quantized version of pixart
<Gallery />
setup (once)
- drag pixart-xl-2-1024-ms-q4km.gguf [1GB] to > ./ComfyUI/models/diffusion_models
- drag t5xxlfp16-q40.gguf [2.9GB] to > ./ComfyUI/models/text_encoders
- drag pixartvaefp8e4m3fn.safetensors [[83.7MB](https://huggingface.co/calcuis/pixart/blob/main/pixartvaefp8e4m3fn.safetensors)] 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 demo picture above to > your browser
workflow
- example workflow for gguf
- example workflow for safetensors
review
- should set the output image size according to the model stated, i.e., 1024x1024 or 512x512
- pixart-xl-2-1024-ms and pixart-sigma-xl-2-1024-ms are recommended (with 1024x1024 size)
- small size model but good quality pictures; and t5 encoder allows you inputting short description or sentence instead of tag(s)
- more quantized versions of t5xxl encoder can be found here
- upgrade your gguf-node (see the last item in reference list below) to the latest version for pixart model support
paper
reference
- base model from pixart-alpha
- comfyui comfyanonymous
- gguf-node (pypi|repo|pack)
