moss_sft_binyuan_纱镜_v1.0
Back
moss_sft_binyuan_纱镜_v1.0
moss_sft_binyuan_纱镜_v1.0
moss_sft_binyuan_纱镜_v1.0
moss_sft_binyuan_纱镜_v1.0

moss_sft_binyuan_纱镜_v1.0

35 Views0 Likes3 Favorites
StylizationCharacterizationAccentuationComposition

冰缘排骨

冰缘排骨

StylizationCharacterizationAccentuationComposition

Model Information

Active
Model Type:
Unet
Basic Model:
moss-image
Resource Name:
models/unet/binyuan_moss_sft_shajing_v1.safetensors

This is based on the official Checkpoint and incorporates 8-step LoRA, along with a custom model I trained. Thanks to the strong native capabilities of the official model, integrating these smaller models accelerates generation from 1 minute down to 10–20 seconds, while also adding fine details to the image quality.
This is based on the official base model and incorporates 8-step LoRA. It also includes a model that I trained myself. Due to the strong capabilities of the official model itself, after integrating these small models, it has achieved an acceleration, from 1 minute to 1 to 20 seconds, and the picture quality has also increased in details
Please use the following parameters when generating:
Steps: 8
cfg: 1
Sampler: euler
Scheduler: sgm_uniform
When in use, please use the following parameters: Step count: 8cfg:1 sampler: euler Scheduler: sgm_uniform

Suggested Resources

Manage Suggested Resources


This is based on the official Checkpoint and incorporates 8-step LoRA, along with a custom model I trained. Thanks to the strong native capabilities of the official model, integrating these smaller models accelerates generation from 1 minute down to 10–20 seconds, while also adding fine details to the image quality.
This is based on the official base model and incorporates 8-step LoRA. It also includes a model that I trained myself. Due to the strong capabilities of the official model itself, after integrating these small models, it has achieved an acceleration, from 1 minute to 1 to 20 seconds, and the picture quality has also increased in details
Please use the following parameters when generating:
Steps: 8
cfg: 1
Sampler: euler
Scheduler: sgm_uniform
When in use, please use the following parameters: Step count: 8cfg:1 sampler: euler Scheduler: sgm_uniform

Suggested Resources

Manage Suggested Resources