Local Ai
Trying out LoKr instead of LoRA on Krea2
Dataset of 43 images, captioned with qwen3 VL 4B instruct, 50 word caption focusing on: Composition, Subject's hair, expression, clothes, pose, background Training Parameters: (10 rep x 43 image) x 6
Dataset of 43 images, captioned with qwen3 VL 4B instruct, 50 word caption focusing on: Composition, Subject's hair, expression, clothes, pose, background Training Parameters: (10 rep x 43 image) x 6 epoch, saved every 430 steps. resolution: 512, 768, learning rate 0.0001, Optimizer: Automagic v2, cache text embeddings, cache latents, My setup is RTX 4070 super + 64gb RAM + Paging file size: 65536 I had to offload my text encoder 100% and Transformer 75% Each LoKr tested with same caption + Noise on Krea2Turbo, i trained some character loras before, this feels very similar to the LoRAs. Not many ground breaking improvements, but got decent results from early 2k steps. submitted by /u/Beautiful_Egg6188 [link] [comments]
Related
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- What is the best workflow for captioning/tagging images for training a LoRA on Anima Preview 3?
Source: r/StableDiffusion | 2026-07-27