you can also make repeat 100 and train 2 epochs
you can also make repeat 100 and train 2 epochs
UThanks for the response. Here my questions:
- Do you think this will fix the color issue (like the exact shade) and will this also solve different body type problem?
- What can I do so I can try on different body type as well?
- What are your tips on bad hands?
- Do you think full dreambooth training is good choice or not for this use case, as we need exact pattern of the dress?
F1 : get better dataset train on flux
F2 : get better dataset train on flux
F3 : get better dataset train on flux
F4 : well dreambooth is most powerful training atm. better than lora. i cant say it is exactly use case or not but if you want highest quality probably
Fundertanding better dataset only happens through experience. you have to do different trainings compare and improve
UThank you @Furkan Gözükara SECourses . By the way, I am a Python developer and if you need any help regarding maintaining your softwares I would love to do it for you. Thanks again
Fthanks a lot
WHi @Furkan Gözükara SECourses I have another question, can I train multi characters in one dreambooth checkpoint together using different active keywords and caption ?
SShould I use any other model instead of sdxl base?
S- Have you tried the Catvton model ? It takes model and clothing images as input and generates model wearing the input clothing
UNo, I haven't tried. Thanks for sharing. I will try it now. How was your experience with it? Does it work well with different lightning conditions?
SI've tried Simple Catvton workflow. It may not produce exact matching clothing sometimes(color/pattern mismatch). I've seen videos using some advanced workflow to get an exact clothing match. I haven't tried it yet.
SPlease let me know about your experience if you implement it for your usecase
USure, I will update you after trying it. Thank you.
Fthey bleed
FMedium
Thoroughly experimented with Fine-Tuning / DreamBooth training of Flux-dev-de-distill, PixelWave v03, Verus Vision and base FLUX Dev model…
Fof course you can use
Fespecially a model that already can generate similar quality / resembling images of what you want
J@Furkan Gözükara SECourses I am using a 48GB to create some finetuning. I used the 48 config and the learning rate is set at: 0.000004. That seems really low. It's taking about 7 hours on 4500 steps.
WI mean I train using SDXL not Flux i already saw some lora contain many characters
4I saw the tutorial, it is really impossible to train a model with my 4060 8gb and 32gb of ram ?
4And on runpod there is an new option to automatcly fine tune a model what do you think ?
Fyes it is normal
Fsdxl is different
Fyes you need 64 gb
Fprobably lower quality
Fcompared to what you can get
4fuck..
Fyou can try this. use fp8 lora
Ffp8 base
Fit may fit
WSo in theory I can use your config of SDXL train multi characters using different caption for each character to get the model understand multi concept right ?
4I can use the fp8 flux model i install with your swarmui installer ?
Fyes it has fp8 flux
4I know the difference quality between fp8 and fp16 is not huge when using flux but for a dreambooth traning is it the same ?
Fbut dont use scaled i am not sure if tht works
Fby the way
Flatest fine tuning downloader
Fdownloads fp8 model already
F
Fwe cant train fp8 with dreambooth
Fbut lora should work fairly fine
Fselect base fp8 on interface
4Ok i will try thanks 
JI am following your extracted LoRA tutorial. However getting an error. I have tried all save percisions and network rank sizes. I have checked V2 and unchecked it. Can seem to get past this error. Happening to 3 different finetunes. So I know it's got to be something I am not seeing.
new_checkpoint["time_embedding.linear_1.weight"] = unet_state_dict["time_embed.0.weight"]
KeyError: 'time_embed.0.weight'
new_checkpoint["time_embedding.linear_1.weight"] = unet_state_dict["time_embed.0.weight"]
KeyError: 'time_embed.0.weight'
Fuse this
J
Xhow to make a lokr like this? with that net dim, usually kohya only allow to put 100000, https://civitai.com/models/292553?modelVersionId=1568463 (this is the lokr and the creator).
