Best Models for Training Loras – Ideogram Tops the List
Review the lora training benchmark to choose the best base model for your projects.
Test lora training on Ideogram with your own dataset to validate performance.
Summary
A benchmark of lora training performance was conducted across six models: Krea, Ideogram, Flux 1 Dev, Flux 2 Dev, Flux 2 Klein, and Z Image. Training ran for about four days on 4070ti GPUs using a Claude‑driven pipeline, with Flux 2 Dev failing due to a Mistral encoder issue and requiring 5090 GPUs on Runpod. The ranking, based on visual quality and generalisation, places Ideogram first, followed by Flux 1 Dev, Krea 2, Z Image, Flux 2 Klein, and Flux 2 Dev last. Krea moved up to second after switching to Krea 2 turbo sampling during training. The study used complex prompts to avoid over‑training artefacts and evaluated each model’s ability to recreate facial features in novel scenarios. The author recommends switching from Flux 1 Dev to Ideogram for production lora training. The article also notes that training on a H100 GPU could further improve results.
Overall, the benchmark provides a clear hierarchy of base models for lora training, with Ideogram emerging as the best choice among those tested.
Key changes
- Tested models: Krea, Ideogram, Flux 1 Dev, Flux 2 Dev, Flux 2 Klein, Z Image.
- Training used 4 days on 4070ti GPUs with Claude pipeline.
- Flux 2 Dev training failed due to Mistral encoder, requiring 5090 on Runpod.
- Ranking: Ideogram > Flux 1 Dev > Krea 2 > Z Image > Flux 2 Klein > Flux 2 Dev.
- Krea moved up to #2 after using Krea 2 turbo sampling.
- Ideogram remains best for lora training among tested models.
- Training configs include rank, learning rate, text encoder LR.
- Suggests switching main pipeline from Flux 1 Dev to Ideogram.