For a face only lora, which I will use in the <segment:yoloface...> part, 15-20 pics should do it ye
For a face only lora, which I will use in the <segment:yoloface...> part, 15-20 pics should do it yes?
�different angles, expressions and lighting
RI am unsure when one should use dreambooth vs lora
Fwhat is your purpose?
RI want to generate images that make up elements of differnt people but not recoreate a spefic person
Fso you want to train a style
Ffine tuning better
Ris it a style, like what defines a style
Fyep do fine tune
Fdreambooth
Rcan you clarafy the types of models. like styles,subjects.
Rwould i use dream booth for recreating myself as well
Rcan you continue training from a model you trained already. if so how, because i keep running into issues with that.
Fyou need lora only when you want to publish on civitai so that people can use on different base models - otherwise lora is no, it is inferior from all aspects. also you would want lora if you are service so you want to host small files
Rokay
Xis it possible to speed up sdxl lora training using RAM?
Xdoes
--network_train_unet_only affect to the quality of the lora?XI found (reddit) it speeds up training but if the quality gets worse I gotta ignore it
Fnope
Fyes because you dont train text encoder
Fso quality = lower
ZHello everyone! I trained my character, Conan, through finetuning, and now I want to add a LoRA with a film style. However, when working with LoRA from CIVITAI in the style of a specific film genre (e.g., Dark Fantasy movies from the 80s) or a type of lens (e.g., Anamorphic Lens), I encountered an issue: at high LoRA values, it radically changes the character's clothing and appearance or removes objects from the environment, but adheres to the style better. At lower values (around 0.5 or less), it either doesn't work or leaves some noise.
I understand that the authors of these LoRA models often use 30-50 images for style training, which might be the main limitation in the flexibility of LoRA models.
I could create a dataset of 100-500-1000 images for the Dark Fantasy movies 80s style. But tell me, should I train it on my already finetuned model with my character (will it affect his appearance too much?), or should I create a new LoRA with a larger dataset of images (100-300-500) for higher-quality generations? What do you think will work better?
I understand that the authors of these LoRA models often use 30-50 images for style training, which might be the main limitation in the flexibility of LoRA models.
I could create a dataset of 100-500-1000 images for the Dark Fantasy movies 80s style. But tell me, should I train it on my already finetuned model with my character (will it affect his appearance too much?), or should I create a new LoRA with a larger dataset of images (100-300-500) for higher-quality generations? What do you think will work better?
Fyes it would impact your character as long as those newly trained images have any same class
Flike containing a man in them
�If I want a lora to impact only my characters body, should I crop to only include body in training images 
my current solution is inpaintinf my face with segment as shown, but face does change when using the lora
my current solution is inpaintinf my face with segment as shown, but face does change when using the loraFi dont know if that is possible you can try
ZWhat if there are creatures, landscapes, and women?
Fwoman can bleed too
Fothers shouldnt
ZWhat about the influence on Conan's staff's appearance? Will this style affect his clothing or appearance since it is critical?
Fuse different clothings in style it shouldnt memorize clothing
Fso shouldnt impact
ZAlright, then what are the settings for training through DreamBooth? As I understand it, your configs are more optimized and suitable for memorizing characters? Since for style, a more flexible mode of memorization is required, as well as detailed captions for greater flexibility?
ZAnd is it possible, for example, to use widescreen images for training so that it works better at this resolution? Moreover, this will simplify the process of preparing the dataset.
Zlike this
N@NicB @SpecialHelper @Furkan Gözükara SECourses Hey guys I am currently following Dr. Furkans tutorial on how to do a Full File Tuning on Massed Compute and in the picture you can see what I want to deploy for the process.
1. But I dont know it the training will be faster if I use 2x A6000 with 96gb vram and more space.
2. I dont know hom much money I should put on the account for these trainings:
- 1x for me, 200 png dataset, various poses, expressions and clothing
- 1x for my Brother, 100 png dataset, various poses, expressions and clothing
(I want max quality possible)
And what parameters would you guys suggest me to use?
And I also don't know how to put money on the massed compute account and I have also connected my credit card
1. But I dont know it the training will be faster if I use 2x A6000 with 96gb vram and more space.
2. I dont know hom much money I should put on the account for these trainings:
- 1x for me, 200 png dataset, various poses, expressions and clothing
- 1x for my Brother, 100 png dataset, various poses, expressions and clothing
(I want max quality possible)
And what parameters would you guys suggest me to use?
And I also don't know how to put money on the massed compute account and I have also connected my credit card
NAnd also another thing that I would like to know is:
Can I close my Browser or even shut down my PC while the training is running on massed Compute? Because I saw that the the best training for about 250 images dataset will take about 30-31 hours per training
Can I close my Browser or even shut down my PC while the training is running on massed Compute? Because I saw that the the best training for about 250 images dataset will take about 30-31 hours per training
NJust don't shutdown the VM instance in massed compute itself. It is like a separate computer for yours so everything will run as long as you don't shut it down
NOkey nice
NWhat about the other things like billing and so on?
NOur billing by default is set for automatic charges. You only get charged for instance that are on the running instance page. So you can set thresholds as low as $5 for recharge amount and minimum balance amount.
NNur how Home I couldn’t deploy the gpu? It said you don’t have credits or something like that
KI was finetuning Flux, and at some point made prompt larger, and suddenly it failed when trying to generate test image after saving checkpoint. I wonder now, new prompt was only 88 words (356 characters), seems like all within limit. Maybe it was something else?
Kor maybe its just some random memory error?
Fnope not at all. my configs are designed to train any concept or even do fine tuning with large dataset
Fyou should compare
F2x wont make difference
Fduring fine tuning
Fbut if you do 2x gpu lora it will be