Sign In

Flux censored

21
204
11
11
Verified:
SafeTensor
Type
LoRA
Stats
121
11
47
Reviews
Published
Sep 7, 2024
Base Model
Flux.1 D
Training
Steps: 2,912
Epochs: 7
Trigger Words
censored
Hash
AutoV2
099F7260A9
default creator card background decoration
This_Rock's Avatar
This_Rock
The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.
IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

At the start I'm training only pixelated censoring. I would like to first fine tune dataset/training on understanding of the concept of censoring on any object/part of object with natural language.

Version comparison

  • ALPHA2 is much more flexible than ALPHA1

  • ALPHA2 is able to censore things that were not present in training dataset

  • ALPHA2 has a bit of issues with hands and quality (jpeg artifacts)

  • ALPHA2 is not censoring things that you do not specify as ALPHA1 did

  • ALPHA2 does not censore somtimes entire objects (mostly on bigger ones)

How to use

  • Trigger word censored

  • It works pretty well with natural language prompts (prompts that seemed to work for me are adding to the end "<something> is/are censored.", before the thing you wanna censore add "censored <something>", or add right behind "<somthing> that is /are censored")

  • Don't use this LoRA on clip or keep it on strength 1

Known issues

  • Jpeg artifacts in certain parts of the image

  • Hands are generated blurry or with wrong number of fingers

If you have some ideas for future types of censoring leave them in the comments.

Enjoy :)