Add as a preferred source on GooglePruna AI Releases P-H3-Image With a 20 Billion-Parameter Network
The image model supports generation and editing. Its smallest quantized version is about 20 GB and uses roughly 21 GB of VRAM when generating an 8-megapixel image.
Pruna AI released P-H3-Image Nov. 3, an image-generation and editing model built on MiniMax’s H3 video model. Its generation network has about 20 billion parameters and uses eight sampling steps.
The smallest quantized version is about 20 GB. Generating an 8-megapixel image uses about 21 GB of VRAM at peak.
MiniMax’s open-weight H3-Image release uses a 33.1-billion-parameter image network and six sampling steps. It supports image editing and up to 16 reference images, and can generate images measuring 4,096 by 4,096 pixels, or about 16.8 million pixels.
Simon Yoon
ReporterSimon Yoon reports on blockchain technology for TokenPost. Send corrections or tips to info@tokenpost.com.