Hello everyone. I am Dr. Furkan Gözükara. PhD Computer Engineer. SECourses is a dedicated YouTube channel for the following topics : Tech, AI, News, Science, Robotics, Singularity, ComfyUI, SwarmUI, ML, Artificial Intelligence, Humanoid Robots, Wan 2.2, FLUX, Krea, Qwen Image, VLMs, Stable Diffusion
Hey guys, can confirm the tests of our dearest Dr Furkan.
Flux Krea training is amazing but needs more epoch. I trained a makeup style checkpoints with 200+ images, and this is epoch 200. With flux dev the sweetspot is often around 140/150 epochs for my trainings.
I will train 20 epochs more on this one cause I think it may be beneficial for some details. Go ahead Flux Krea is awesome, reach for high epochs !
I would like to ask everyone, I used 38 high-definition half-body portrait materials to fine-tune the DreamBooth training, with a configuration of 48G and 200 training rounds. Currently, the results from round 120 to round 200 are indeed becoming more similar to the characters in the material set, but I encountered two problems: 1. The test results for cartoon images are all realistic people, 2. If the character is relatively small in the image, there is only a very small probability that the face resembles the original.
Maybe also introduce images where the face is more distant in your training ? Maybe you could pad the training images twice, but the second time with a big black border, so the face comes out relatively small?
I'm training a LoRA of a character similar to you using my own photos. However, currently, when I write the cartoon prompt, it turns into a real - life person.
Black Forest Labs (BFL) publisher of FLUX models kept their promise and published the FLUX.1 Kontex DEV model today. So I didn't sleep and after doing huge research and test non-stop, I have prepared this excellent step by step tutorial that will show you how to use this amazing model. With FLUX Kontext you can edit any part of the image in any ...
I can use kontext, and I have successfully trained my own control lora. At present, I just want to replicate the process in your tutorial, use a dataset of real - person photos to train a DreamBooth (DB) to achieve a personal model with generalization ability.
Tried training character checkpoint with 50 image set 7000 steps from flux krea and result is much worse than flux dev counterpart so far. Much less likeness, seems more weird results
I found using a character Lora that I trained with flux on flux krea is giving me the textures of krea with the character. Vs the finetune I was getting fuzzy images