【Soul Land】Ye Lingling
【Soul Land】Ye Lingling
V1.00




This article introduces a training method for image processing, recommending the use of specific large models and parameter settings to achieve the best results. The recommended model is SouthBridge_SD1.5_V1.0, with the LoRA weight set preferably between 0.6 and 0.8. Additionally, other parameter settings are provided, such as setting the clip skip to 2, setting the high-definition repair redraw amplitude between 0.2 and 0.4, and recommending the sampling method DPM 2M Karras with sampling steps suggested between 20 and 30. These recommendations aim to help users conduct image processing training more effectively.
This model is sourced from an external transfer (transfer address: https://www.liblib.art/modelinfo/6c05b302ecf1499d9f00b4c15fce02ea ),if the original author has objections to this transfer, you can click,
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's requestModel Information
Active
Original author:
南桥
Model Type:
LoRA
Basic Model:
SD 1.5
Resource Name:
【斗罗大陆】叶泠泠_V1.00.safetensors
MD5:
2ec84d47246c5a2a21906a95ca422883
This article introduces a training method for image processing, recommending the use of specific large models and parameter settings to achieve the best results. The recommended model is SouthBridge_SD1.5_V1.0, with the LoRA weight set preferably between 0.6 and 0.8. Additionally, other parameter settings are provided, such as setting the clip skip to 2, setting the high-definition repair redraw amplitude between 0.2 and 0.4, and recommending the sampling method DPM 2M Karras with sampling steps suggested between 20 and 30. These recommendations aim to help users conduct image processing training more effectively.
This model is sourced from an external transfer (transfer address: https://www.liblib.art/modelinfo/6c05b302ecf1499d9f00b4c15fce02ea ),if the original author has objections to this transfer, you can click,
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request