Hi guys, which captioning model is the best to use with SUPIR upscaling? Also what's the best config
Hi guys, which captioning model is the best to use with SUPIR upscaling? Also what's the best configuration settings for SUPIR?
Fyes i watched
Fso so shameless
Fthey produced 100,000 H100 for twitter in few weeks
Fwe have 2 config
Fcompare them
Flook presets on interface
Wok awesome, any suggestion on why the model won't load? I've tried several times before but have never gotten it to work and always end up giving up, but I can't keep spending so much on credits for other paid services lol
Astrange it doesn't work
AWhat's your root folder on swarm
SStill doing research into hunyuan lora training?
MCan anyone help me with this error?
AIn the Models tab , find the burger icon and select edit meta data , from there set the architecture of the model to Flux Fill . For some reason Swarm doesn't do it automatically for different quantized versions
Fmaybe download was corrupted
Fyes it is on book
Ftry to put into stablediffusion folder
Fah yes this is another possibility
Ftrying to fix paints undo scripts that we have
MI have all this in a folder but changing the name of checkpoints to Stable-Diffusion doesn't help
Mdont work look
I have all this in a folder but changing the name of checkpoints to Stable-Diffusion doesn't help
I have all this in a folder but changing the name of checkpoints to Stable-Diffusion doesn't help
MIt's not the model that's the problem because it's not working with any...
Mno model that I put through the patch..
and I don't have space to duplicate all the files
and I don't have space to duplicate all the files
Fdid you edit metadata?
FMmodel metadata you say?
Yes, I looked at what the boy said...
that was wrong
Yes, I looked at what the boy said...
that was wrong
SDr Furkan, for kohya trinaing there is another flux dev model that could be used for training instead fo flux dev 1?
RIf I want to further finetune a lora or a model, what is the best approach ? Do i need the original dataset ? or can i give the model or lora new images without the old ones and continue further tuning ?
�@Dr. Furkan Gözükara Is it possible to train a style and an object in the same Lora? You mention something about having two folders in the dataset preparation part and having a specific number of repeats for each of them.
RWhat are the fundamental differences between kohya, onetrainer and simpletuner? I've only used ai-toolkit (kohya) because there are many online resources, but I've seen information about SimpleTuner being better.. however, I am not sure why/what the differences could be
A
ASome stuff I made with rank 128
R@Dr. Furkan Gözükara can you suggest ?
If I want to further finetune a lora or a model, what is the best approach ? Do i need the original dataset ? or can i give the model or lora new images without the old ones and continue further tuning ?
If I want to further finetune a lora or a model, what is the best approach ? Do i need the original dataset ? or can i give the model or lora new images without the old ones and continue further tuning ?
MWhats the recommended ui/ config to use flux with controlnet?
VAre you, by any chance, using swarmUI through StabilityMatrix? I had a similar issue ( couldn't load any flux model whatsoever), and I highly suspect it's StabilityMatrix being wonky
KHi everyone, I need advice on setting trigger tokens and classes for two training datasets:
Dataset: ~150 diverse photos of peoples showing interactions like handshakes or couples holding hands etc.
What trigger token would best represent these interactions, and what class should I assign?
Dataset: ~25 photos of a physical product (e.g., a cooker - utensil).
What trigger token and class would you recommend for this category?
- Hands Interaction
Dataset: ~150 diverse photos of peoples showing interactions like handshakes or couples holding hands etc.
What trigger token would best represent these interactions, and what class should I assign?
- Physical Product
Dataset: ~25 photos of a physical product (e.g., a cooker - utensil).
What trigger token and class would you recommend for this category?
A@Dr. Furkan Gözükara Hey.. Thank you for all the info you have on training models.. Its truly amazing.. I read in one of your posts about rank and flux loras but I didnt get the point really.. I am trying to prevent overfitting to use characters as comicbook characters.. The loras are amazing for realistic but I find that they are difficult to convert to comicbook characters.. You wrot a post about less paramters not sure what you meant.. Do you suggest a low rank/alpha to prevent overfitting or what did you mean ? Thanks
M@Dr. Furkan Gözükara What's your recommendation for training with a minimum number of small number pictures? Any experinece with using 1 or 2? Effectively training a lora based on an AI generated character created with Flux.
Have you had experience with ControlNet for posing working successfully on Flux yet? I see Black Forest labs has released some files to assist with this, but was curious if you had worked with them.
Have you had experience with ControlNet for posing working successfully on Flux yet? I see Black Forest labs has released some files to assist with this, but was curious if you had worked with them.
W@Dr. Furkan Gözükara the newest of your ComfyUI install include DeepSpeed, does it improve inference speed or something ?
RHey I made a music video using veo 2, some of you might find it of interest, anyway its all AI (except the music). Hope its ok to post here.
https://www.youtube.com/watch?v=XICNVp7yhg0&t=1s
https://www.youtube.com/watch?v=XICNVp7yhg0&t=1s
YouTubeRuairi Robinson
Music video for Steve Moore's "The Blue Stone"
Directed/edited by Ruairi Robinson
Visuals generated using Google Veo 2
Directed/edited by Ruairi Robinson
Visuals generated using Google Veo 2
.@Dr. Furkan Gözükara Here a gen from a custom fine tune on large images I’ve tiled and cut into 1024x1024 pixel chunk separate pngs to capture every tiny possible detail from the up to 6K large images. It was an experiment and it went well with your config. Original image count was 15 for those large images and then after filing there were over 400 images. So this seems to be the trick to be able to train on any resolution images without losing any details.
RThis is absolutely stunning mate!
Jinteresting! how does the model know the tiles fit together when training?
Jmade a new flux fine tuning model of my friend with 58 images, also gave great and trustworthy results. im wondering how low it can go. my first attempt with 15 images was too glass-skin like. but yea at least now i know that 58 images works well!
.I've written a python script with chatGPT that will tile them with overlap and is also including the original full size image. Plus I'm using flux dev de-distilled.
.@julius so yeah the fine details the model can't train on when only the full image is trained on it's own since the image gets automatically downscaled to 1024x1024 so the training will never see the full details in your dataset. I've taken a step further and have 3 different resolutions for the original image in 2x increments so that it will have 1024x1024 which is the full image downscaled to give the training the full context of the subject then a 2048x2048 version which will serve for 2x Ultimate SD Upscale training on 1024x tiles and then a 4096x4096 size tiled in 1024x1024 tiles to serve as data for training for 4x Ultimate SD Upscale and lastly the original resolution whatever it is to be tiled into 1024x1024 tiles with overlap to not miss any detail from the original dataset.
.Here some more outputs.
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