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surreal tropical bedroom

9

61

3

3

Verified:

SafeTensor

Type

LoRA

Stats

61

3

1

Reviews

Published

Sep 18, 2025

Base Model

SDXL 1.0

Trigger Words

surreal tropical b3dr00m

Hash

AutoV2
D4324E236B
Acolyte Badge

arrssenne

After receiving several questions about how my LoRA models work, here’s a quick explanatory guide.

First of all, I always include a trigger word to properly activate the LoRA. If it doesn't seem to activate, keep in mind that the example images I post use the exact same prompt that I used to create the dataset images. So feel free to draw inspiration from the prompt, either in part or in full.

All of my images are generated using checkpoints that I personally like. As such, my LoRA models may not perform as well with other checkpoints.

Also, I never create datasets with multiple viewing angles. So if you’re not satisfied with the angle of a background, I can create a version with a different point of view upon request. The same goes for colors, style, etc.

Finally, I almost always use a strength of 1 for my LoRA models. However, don’t forget that you can adjust this value based on your needs—for example, anywhere between 0.6 and 1.9.

After receiving several questions about how my LoRA models work, here’s a quick explanatory guide.

First of all, I always include a trigger word to properly activate the LoRA. If it doesn't seem to activate, keep in mind that the example images I post use the exact same prompt that I used to create the dataset images. So feel free to draw inspiration from the prompt, either in part or in full.

All of my images are generated using checkpoints that I personally like. As such, my LoRA models may not perform as well with other checkpoints.

Also, I never create datasets with multiple viewing angles. So if you’re not satisfied with the angle of a background, I can create a version with a different point of view upon request. The same goes for colors, style, etc.

Finally, I almost always use a strength of 1 for my LoRA models. However, don’t forget that you can adjust this value based on your needs—for example, anywhere between 0.6 and 1.9.