EveryDream2
Fine-tuning tool for Stable Diffusion focused on training quality.
About
EveryDream2 is a Stable Diffusion fine-tuning trainer focused on training on real captioned image sets rather than the token-and-class approach of DreamBooth. It supports SD 1.x and SDXL with aspect-ratio bucketing, captioning helpers, and detailed control over learning rate and schedules. It runs on Windows, Linux, or in Docker. Released under the MIT license and developed as a community project.
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Details
- Category
- Model Training & Fine-Tuning
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- MIT
- Minimum VRAM
- 8 GB
- Added
- Apr 3, 2026
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