@Furkan Gözükara SECourses SOS 🚨🚨 I need suggestions for good lip sync
@Furkan Gözükara SECourses SOS 
I need suggestions for good lip sync
I need suggestions for good lip sync
V@Furkan Gözükara SECourses
in video you say epoch 100 is good for 256 images... but after you mention that epoch 50 is best?
what I dont understand yet... so while training you can already move the generated checkpoints to some different place because these are kind of finished states of the trained model and will only be needed for training in case the training fails. which would mean you could then use the checkpoint as new starting point? is this correct?
in video you say epoch 100 is good for 256 images... but after you mention that epoch 50 is best?
what I dont understand yet... so while training you can already move the generated checkpoints to some different place because these are kind of finished states of the trained model and will only be needed for training in case the training fails. which would mean you could then use the checkpoint as new starting point? is this correct?
1I've read some comments about using a clip interogator to filter out similar images from a dataset. Has anyone used this technique or know of a tool that could do this?
VIs anyone aware of a platform that offers the ability to train a flux lora and then use something like adetailer/udetailer to fix the face on inference, like out of the box or with minimal setup?
Not looking to set up my own thing from scratch on something like runpod, hoping for something more plug and play like Replicate
Not looking to set up my own thing from scratch on something like runpod, hoping for something more plug and play like Replicate
A
MThank you for the Flux workflow, it looks promising. But I have a question I keep getting a "mat1 mat2 mismatch" error for Clip_G looks like I'm using the wrong version, can you share the link to the clip file you're using?
Also, it would be nice if you can share the generation data for one of your images, just for me to check if everything is working correctly.
Also, it would be nice if you can share the generation data for one of your images, just for me to check if everything is working correctly.
MHello
MWhenever i train kohyass lora on a flux model, i get error "returned non-zero exit status 1."
Mother models it works perfectly fine
AI'm getting two additional options for Kohya that don't appear on the exapmle image on the guide on Patreon - "Conv Dimension" and "Minimum Difference". Should I leave them with default values?
Fyes batch size 1 is best
Fi dont know good one atm
Fthe logic is like this
Fwe do up to 200 epochs
Fand we compare and find best one
Fbut if you have too many images
Fit is becoming redundant
Fwe have image similarity app you can try
Four massed compute image has swarmui
Fjust click updat first
Fthen ready
Fgithub not found https://github.com/xh9998/DiffVSR
Fhard to know without seeing everything
Fyou want to extract flux lora?
Fthat is inaccurate tab
Fclick this
F
AOops, my bad 
. Thanks 
. Thanks 
A@Furkan Gözükara SECourses do you think to have 2 Lora people in one picture it's best to do face inpainting or regional prompting on Swarm? what will achieve best results
Fprobably face inpainting
Awith yolo segmentation or individual swarm masking using flux inpaint model?
M
MV@Furkan Gözükara SECourses finetuning can or cannot use 2 gpu? Not used in my case. Are there any settings?
Ait can't
Jyou guys ever get this error while training? in this session im running now, seems to happen almost every time, just have to click "generate" a few times and then it works anyway?
(4x RTX 6000 on MassedCompute, using Init Image)
(4x RTX 6000 on MassedCompute, using Init Image)
PHi guys, I made this little toy for you: https://huggingface.co/spaces/elismasilva/mixture-of-diffusers-sdxl-tiling
M@Furkan Gözükara SECourses have you tried the recently released flux pro model's api for fine tuning, wondering what your take is on that vs the dreambooth method in terms of quality
Fpeople tested and it is inferior
Mi see, powering through your nearly 3 hour dreambooth tutorial on flux since yesterday haha
Fsana controlnet published
Fi should implement
![Dazzastrous [4090]](https://cdn.discordapp.com/avatars/871389071686135838/c4a5f4d81d9eeb18d856295d692e2c07.webp?size=40)
Dnice
Freplied all emails and messages time to sleep
V@Furkan Gözükara SECoursesEDIT SOLVED: In the folder on massed compute there was hidden folder "cache" that I had to delete. then I could upload again. ORIGINAL MESSEAGE: I am trying to transfer checkpoints from massed compute to huggingface. I use the jupyter notebook. Works very good and fast. But I have one problem.... Some checkpoints I had to delete from hugging face. Then I tried again to retransfer them from massed compute to hugging face. but the jupyter always says: "Recovering from metadata files: 100%". and then its just skipping.... What do I need to do? is there an overwrite command? or do i need to delete metadata files and where are they?
Mdo you think a dreambooth or lora training of just text can create a reliable text generating model?
.@Furkan Gözükara SECourses if I set the guidance scale to 6 in the kohya fine tune parameters, will that influence training and if yes how?
K