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
Okay, please forget about the NSFW. It is not important.
Do you think it is worth to try a community Flux Checkpoint for training a Dreambooth Model? If yes, which would you recommend ? Or would you always recommend to use the base version? Best regards and thanks a lot
left is without lora, just Flux. the middle is regular lora training with the bleeding effect. you can see that not only the prompt "ohwx woman" was changed, but also "woman" by a lot. on the right is the lora with prior regularization: the prompt "woman" looks almost exactly like in the unchanged model with no lora on the left, only "ohwx woman" is changed
prior just means original model. I guess the name of "prior preservation" parameter is named that because originally people used images generated by the prior model
Replace SD3Tokenizer with the original CLIP-L/G/T5 tokenizers. Extend the max token length to 256 for T5XXL. Refactor caching for latents. Refactor caching for Text Encoder outputs Extract arch...
Replace SD3Tokenizer with the original CLIP-L/G/T5 tokenizers. Extend the max token length to 256 for T5XXL. Refactor caching for latents. Refactor caching for Text Encoder outputs Extract arch...