Type | |
Stats | 147 0 |
Reviews | (24) |
Published | Oct 14, 2023 |
Base Model | |
Training | Steps: 6,200 Epochs: 1 |
Usage Tips | Clip Skip: 1 |
Trigger Words | <Lora:Redia_yiu_v10:0.6> redia |
Hash | AutoV2 C13D81F7A4 |
How to use
It is recommended to write the following tokens: red trees, red and blues, , liquid smoke, RAW, high quality, colorized photo, raw photo, blue lake, white mountain.
Copy the prompt and parameters from the preview to this model — you will not lose.
What the model is suitable for
the model trained on images with unusual color correction, in which all vegetation and some objects were repainted in red, and the rest of the environment preferably in white.
LoRA was trained on a variety of examples, so try combinations and share your creativity in the comments.
I trained LoRA on the Deliberate_v3 model, so it's better to work with her in pairs.
I recommend using sd-dynamic-thresholding extension to increase the stability of generation and improve quality.
The model was trained for a resolution of 1024px, so you can generate huge images.
Which model works best with
It is best to use the Deliberate_v3 model, but you can combine this LoRA with other solutions focused on photorealism, model will work perfectly with them.