ye the experiments didnt work good
ye the experiments didnt work good
Fwasted so much time :d
Fyep few did :d
Fworking on flux tools tutorial
Xexperiment dead?
Fye
Fit doesnt worth it
Fyou can see all model trainings here : https://huggingface.co/MonsterMMORPG/Fix_FLUX_Bleeding_Experiments_with_DOP/tree/main
XThats a lot of training
Xhave you tried with the dev distilled?
Fyes i tried
Fnot the new method
Fbut regular training
Fit also bleeds
Xthere is possibly a workaround though its a lot of effort
Xyou'd need to photobash yourself next to random men, and then caption it in details
Fyes it helps significantly especially couple training
Fsomething so wrong with outpainting 
Fdoing more research
Fnew unified downloader download speed
Fdoing some revision test
SIs it possible to customize the UI for forge ? Like adding brand logo, rearranging features
Not to delete any existing features, just to rearrange them so that the whole visual look is less complex and has personal visual taste @Furkan Gözükara SECourses
Not to delete any existing features, just to rearrange them so that the whole visual look is less complex and has personal visual taste @Furkan Gözükara SECourses
Fi dont think
F
VHey everyone! I've had mixed experiences with different Flux models and I'd like to share my findings and ask for help:
Successfully trained a LoRA using flux1-dev.safetensors with Dreambooth following the tutorial video. The results were excellent - I can generate both realistic and stylized images with great quality. However, the pose control with this model is quite poor.
When Flux tools were released, I was excited but encountered two issues:
I really want to combine the quality I achieved with flux1-dev with proper pose control from the new Flux tools.
Successfully trained a LoRA using flux1-dev.safetensors with Dreambooth following the tutorial video. The results were excellent - I can generate both realistic and stylized images with great quality. However, the pose control with this model is quite poor.
When Flux tools were released, I was excited but encountered two issues:
- When I try to use my previously trained safetensors (trained with flux1-dev) with the Flux tools, it doesn't work well - generates very poor quality images.
- So I tried training a new Dreambooth LoRA using flux1-canny-dev.safetensors, but got this error:RuntimeError: Error(s) in loading state_dict for Flux:size mismatch for img_in.weight: copying a param with shape torch.Size([3072, 128]) from checkpoint, the shape in current model is torch.Size([3072, 64]).
I really want to combine the quality I achieved with flux1-dev with proper pose control from the new Flux tools.
VI have achieved much better results when using these resolutions. Often you can miss the point of the image if you crop it and use 1024x1024. But it is very important that if you use a size that is not 1024x1024 you crop at least 8 images to that size.
Fmakes sense
Fyou need more pose having dataset
Fabout flux tools today i started investigating them
Fso cant comment a lot atm
Fbut you may needed to report the error
DInteresting.
But I wonder, are the flux tools same as a dev model? Are they even trainable?
But I wonder, are the flux tools same as a dev model? Are they even trainable?
FI was able to get a pretty good result with a Flux LoRA I trained last month with two unique characters. But maybe the AI has has an easier time telling them apart when they're different genders. The dataset containing images with them posing next to each other maybe helped too
DYes, standing next to each other is the key here.
DTested this.
Feel like a better workflow is > Flux tools > then img 2 img using your dreambooth.
Feel like a better workflow is > Flux tools > then img 2 img using your dreambooth.
DRandom image from the internet
DFlux1-depth tool
Dimg2img w trained dreambooth
DFlux1-fill tool outpaint
�Guys, getting this error when trying a pony checkpoint in swarmui:
"ComfyUI execution error: Given groups=1, weight of size [512, 16, 3, 3], expected input[1, 4, 144, 112] to have 16 channels, but got 4 channels instead" any idea how to fix this?
"ComfyUI execution error: Given groups=1, weight of size [512, 16, 3, 3], expected input[1, 4, 144, 112] to have 16 channels, but got 4 channels instead" any idea how to fix this?
Acustom style trained with One trainer: 1980s cartoon style
Fdataset containing images with them posing next to each other
F- different genders
Flooks decent
Foutpainting of flux perfect
F
Apls don't forget kaggle !
AAlso Hi Doc have I missed anything
Fi think fp8 versions needed for kaggle
Fi didnt see them yet
Ftesting now