🚀 Boreal-Flux-Dev-v2
This project is a LoRA model named Boreal Flux Dev Version 2. It uses a different training approach for its dataset and fixes the old latent shift dot issue. It is over - trained, and its strength may need to be set lower than 1.0. It also works well with dynamic thresholding when a very high negative guidance is included.
Tags
- text - to - image
- stable - diffusion
- lora
- diffusers
- template:sd - lora
- flux
- photorealism
- photo
- realism
- boring reality
- boring
- reality
- amateur photo
Widget
Here are some examples of input text, parameters, and output image URLs:
| Input Text |
Parameters |
Output |
| photo of two womenn talking and hugging while working at a busy place. flikr photo from 2012. three people working in the background. |
negative_prompt: painting, smooth |
images/ComfyUI_02528_.png |
| flikr photo from 2008. three guys working on a car in a mechanic shop. One guy is looking at the hood. Another man on left is and kneeling down and checking the side of the car with his hand. The third guy on the far right is looking for a tool. The room is cluttered with stuff. 2008 flikr photo. |
negative_prompt: painting, smooth |
images/ComfyUI_02659_.png |
| fullbody phone photo of two smiling korean women hugging each other at a busy mall store with a lot of cluttered stuff around them. they are wearing white shoes. flikr photo from 2012. three people working in the background. |
negative_prompt: painting, smooth |
images/ComfyUI_02522_.png |
| photo of an African American and a caucasian man petting a cat at a busy electronic store. flikr photo from 2012. three people working in the background. |
negative_prompt: painting, smooth |
images/ComfyUI_02564_.png |
| woman |
negative_prompt: painting, smooth |
images/ComfyUI_02508_.png |
| phone photo of two African American women hugging while standing at a busy beauty parler. flikr photo from 2012. they are wearing white shoes. three people working in the background. |
negative_prompt: painting, smooth |
images/ComfyUI_02516_.png |
| flikr photo from 2008. three guys working on a car in a mechanic shop. One guy is looking at the hood. Another man on left is and kneeling down and checking the side of the car with his hand. The third guy on the far right is looking for a tool. The room is cluttered with stuff. 2008 flikr photo. |
negative_prompt: painting, smooth |
images/ComfyUI_02617_.png |
| Flikr photo from 2010. phone photo of a couple smiling next to a statue in America at night. A few people are walking past them. flikr photo from 2010 |
negative_prompt: painting, smooth |
images/ComfyUI_02614_.png |
| phone photo of two adults doing stuff. lots of stuff going on everywhere at a busy place. chaotic composition and layout phone photo posted to reddit in 2017. flikr 2010 photo |
negative_prompt: painting, smooth |
images/ComfyUI_02537_.png |
| A long - detailed description about an event scene with people playing guitar, flags, trees, etc. flickr photo from 2009 - 2010. |
negative_prompt: painting, smooth |
images/ComfyUI_02444_.png |
| Amateur selfie photo of two young women at an anime convention on a hot summer day. Details about the two women's appearance and the convention background. On Flickr, 2022. |
negative_prompt: painting, smooth |
images/ComfyUI_02445_.png |
Base Model
The base model used is black - forest - labs/FLUX.1 - dev, and the instance prompt is photo.
✨ Features
- Different Training Approach: This version of the Boreal Flux Dev LoRA uses a different training approach for its dataset.
- Fixed Issue: It has the old latent shift dot issue fixed.
- Overtrained Characteristics: It is very overtrained, and the strength may need to be set much lower than 1.0.
- Compatibility: Works well with dynamic thresholding when a very high negative guidance is included.
📚 Documentation
Model description
Boreal Flux Dev Version 2
This version of the Boing Reality flux dev LoRA used a different training approach for its dataset. It should also have the old latent shift dot issue fixed.
This LoRA is very overtrained for how it works and the strength may need to be much lower than 1.0. It also works well with dynamic thresholding when you include a very high negative guidance.
This version lacks some of the creativity of the older version, as I am still trying to switch up how I am approaching the datasets and training parameters.
Trigger words
You should use photo to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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