and setting up instance and class prompts. Dive into advanced topics such as regularization, learning rates, and network configurations. Discover GPU solutions and RunPod setup for efficient LORA training. By the end, gain the expertise to train any style you desire, whether you're a beginner...
Yesterday I updated dreambooth and since then various thinks broke. I got it running again but there are still errors. But most importantly, I can't continue training Lora pt's. It tries to load it from a hugging face rep... silly... Might be able to change that manually? I am loo...
small updates to the dreambooth and dreamboath lora training scripts for SD3, including: adds --cache_latents and --upcast_before_saving features (similar to what we have for flux scripts) fixes m...
Lora Drops 11 Pounds of Fat to Get Into Fitness Model Shape While Being a Super-Mom to 4 Kids “I learned that I can fit in training, and I can get an intense workout in half the time I used to spend working out. I’m no longer tied to the treadmill for grueling sessions of st...
Lora Drops 11 Pounds of Fat to Get Into Fitness Model Shape While Being a Super-Mom to 4 Kids “I learned that I can fit in training, and I can get an intense workout in half the time I used to spend working out. I’m no longer tied to the treadmill for grueling sessions of st...
, 2023b) train a personalized LoRA model by iteratively generating images, clustering them to find similar outputs, learning a personalized model on a highly-similar cluster, and repeating the process. ConsiStory does not tune or personalize the pre-trained T2I model. Instead, it leverages cross...
Efficient Fine-Tuning with LoRA: A Guide to Optimal Parameter Selection for Large Language Models August 30, 2023 by Avinash Sooriyarachchi in Engineering With the rapid advancement of neural network-based techniques and Large Language Model (LLM) research, businesses are increasingly interested in AI...
yield "You are trying to train a LoRA while you already have another LoRA loaded. This will work, but may have unexpected effects. *(Will continue anyway in 5 seconds, press `Interrupt` to stop.)*" logger.warning("Training LoRA over top of another LoRA. May have unexpected...
Command example: CUDA_VISIBLE_DEVICES=1 accelerate launch train_dreambooth_lora_sdxl.py \ --pretrained_model_name_or_path="playgroundai/playground-v2.5-1024px-aesthetic" \ --instance_data_dir=...
Hi, i tried the runpod but it doesn't recommend the number of training image i should be using to get a decent result in Lora SDXL. Do you have any suggestion on the recommended number of training image and training step?