This is my first Lora, recommended weight: about 0.8 (SD1.5) / 1.0 (SDXL).If you have any suggestion on how to improve it, please let me know.It mainly serve as test ground for different hyperparameters.TODO: crop out some signature so that it'll be optional.Update 2025-06-06:Retrained Flux.1 Dev version with diffusion-pipe + Automagic Optimizer, 8 Rank Lora turns out to be surprisingly good. Now using RTX4080 (better power efficiency &amp; performance)Update 2025-02-02:Animagine v4 versionUpdate 2025-01-28:Retrained on NoobAI V-pred v1.0, with Prodigy optimizer and cosine annealing.Update 2024-11-25:Retrained with t-illunai3 SDXL checkpoint for better prompt adherence, trained with Prodigy optimizer and cosine annealing on a 2080Ti (enabled multires noise)Update 2024-10-03:Further trained to 4000 stepsUpdate 2024-09-26:Retrained with natural language captioning on 3090Ti with Prodigy optimizer.Update 2024-09-08:Flux.1 Dev Lora trained on 3090Ti with SD1.5-style tags. Haven't got time to do natural language captioning.Update 2024-06-28:Retrained it on 3090TI, both TE+Unet are trained this time because of huge 24G VRAM. adafactor optimizer works perfectly.Update 2024-02-06:Retrained it on Tesla P40 at FP32 precision, it ran for 11.5 hours.Update 2024-01-27:Retrained the same dataset on Animagine XL v3.0 base, with gradient checkpointing enabled with my RTX3080, it barely fits into the VRAM.Update 2024-01-23:I manually tweaked all prompts in the dataset, now it should be easier to get non-black latex.Update 2023-12-05:Retrained on a RTX3080, now at 768px resolution, details improved significantly.

Tesomu (Latex Artist) Style

tesomu-flux.1-natural.safetensors

Flux.1 Dev v0.3

Flux.1 Dev v0.4

Animagine v4

NoobAI V-Pred v1.0

v11 t-illunai3 SDXL

Flux.1 Dev v0.2

Flux.1 Dev v0.1

XL-0.3

XL-0.2

XL-0.1

v0.0.5

v0.0.4

v0.0.3

v0.0.2

v0.0.1

Files with SHA256: 10b8e09200e0adadc3d8c3e46092d85e51d5889d2bc49074e0bf6af3a1c615da