Detail Enhancer - Doctor Diffusion's "pnte" Negative Stable Diffusion SD3.5 Large LoRA
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Detail Enhancer - Doctor Diffusion's "pnte" Negative Stable Diffusion SD3.5 Large LoRA
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幻想

3D立体

画风加强

人物加强

Detail Enhancer - Doctor Diffusion's "pnte" Negative Stable Diffusion SD3.5 Large LoRA

"PNTE" Negative Stable Diffusion LoRA

Increase the quality and amount of details in images with these negative LoRAs for Stable Diffusion models.


How to use:

THESE ARE MEANT TO BE USED WITH NEGATIVE STRENGTH VALUES.
To do this simply add the LoRA to the negative prompt or manually adjust the LoRA strength depending on the diffusion interface you are using.

For ease of use, ComfyUI users can use the SnakeOil custom_node suite I created. This node not only automatically inverts negative LoRAs but it also looks for them in models/nloras folder rather than the normal models/loras folder. This helps with organization and keeping our ever growing lists of LoRAs a little shorter.

SD3.5L:

The most recent updated version my "point-e" negative embedding for use with Stable Diffusion 3.5 Large was trained with my experimental custom config for aitoolkit.


I set CLIP to 0 as I did not train the text encoders.
LoRA strength can range from -0.01 to -2.00 but there will often be deterioration past -0.75 in most cases. -0.45 is a good place to start. Works as low as -0.01.

Le Vinh

Le Vinh

幻想

3D立体

画风加强

人物加强

模型信息

模型类型：
LoRA
基础模型：
SD3
触发词：
Detail Enhancer Negative Stable Diffusion SD3.5 Large LoRA

"PNTE" Negative Stable Diffusion LoRA

Increase the quality and amount of details in images with these negative LoRAs for Stable Diffusion models.


How to use:

THESE ARE MEANT TO BE USED WITH NEGATIVE STRENGTH VALUES.
To do this simply add the LoRA to the negative prompt or manually adjust the LoRA strength depending on the diffusion interface you are using.

For ease of use, ComfyUI users can use the SnakeOil custom_node suite I created. This node not only automatically inverts negative LoRAs but it also looks for them in models/nloras folder rather than the normal models/loras folder. This helps with organization and keeping our ever growing lists of LoRAs a little shorter.

SD3.5L:

The most recent updated version my "point-e" negative embedding for use with Stable Diffusion 3.5 Large was trained with my experimental custom config for aitoolkit.


I set CLIP to 0 as I did not train the text encoders.
LoRA strength can range from -0.01 to -2.00 but there will often be deterioration past -0.75 in most cases. -0.45 is a good place to start. Works as low as -0.01.