SFT model can produce clear vertical banding artifacts, applying the later blocks with negative strength can be enough to fix that and reduce the overblown SFT look.
Full SFT:
21-49 rank 512 SFT LoRA at -0.5:
Or just use base with full SFT diff as LoRA, these ranks aren't enough to fully capture the SFT training.
Runs of Kijai MOSS-image_experimental on huggingface.co
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More Information About MOSS-image_experimental huggingface.co Model
MOSS-image_experimental huggingface.co
MOSS-image_experimental huggingface.co is an AI model on huggingface.co that provides MOSS-image_experimental's model effect (), which can be used instantly with this Kijai MOSS-image_experimental model. huggingface.co supports a free trial of the MOSS-image_experimental model, and also provides paid use of the MOSS-image_experimental. Support call MOSS-image_experimental model through api, including Node.js, Python, http.
MOSS-image_experimental huggingface.co is an online trial and call api platform, which integrates MOSS-image_experimental's modeling effects, including api services, and provides a free online trial of MOSS-image_experimental, you can try MOSS-image_experimental online for free by clicking the link below.
Kijai MOSS-image_experimental online free url in huggingface.co:
MOSS-image_experimental is an open source model from GitHub that offers a free installation service, and any user can find MOSS-image_experimental on GitHub to install. At the same time, huggingface.co provides the effect of MOSS-image_experimental install, users can directly use MOSS-image_experimental installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
MOSS-image_experimental install url in huggingface.co: