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## Radiance Model
Download a checkpoint from here https://huggingface.co/lodestones/chroma-debug-development-only/tree/main/radiance then convert it with convertpth.py. Put it in your stable diffusion subfolder. Use the radiance model in the chroma tab of the gui without a vae. It will be automatically detected. Use the same T5 you normally use. Needs 18gb vram atm, gonna work on getting offloading working better.
Download a checkpoint from here https://huggingface.co/lodestones/chroma-debug-development-only/tree/main/radiance then convert it with convertpth.py. Put it in your stable diffusion subfolder. Use the radiance model in the chroma tab of the gui without a vae. It will be automatically detected. Use the same T5 you normally use.
Training: https://github.com/lodestone-rock/flow/
https://github.com/kohya-ss/sd-scripts/tree/sd3
Training: https://github.com/lodestone-rock/flow/ https://github.com/kohya-ss/sd-scripts/tree/sd3
Donate to Lodestone (training is bookoo expensive and crowdfunded): https://ko-fi.com/lodestonerock
Discord: http://discord.gg/SQVcWVbqKx
## Changlog
8/29/2025
Fixed previews w/ radiance chroma models, fixed memory management and offloading mechanisms for radiance.
Fixed previews w/ radiance chroma models, fixed memory management and offloading mechanisms for radiance somewhat, the memory management deffinately needs some more work.
8/28/2025
Added initial support for the radiance model class.
7/13/2025