update changelog

Co-authored-by: Copilot <copilot@github.com>
Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
2026-05-06 09:14:01 +02:00
parent a7d3723014
commit 838e1ad7dc
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@@ -33,11 +33,11 @@ For full details, see [ChangeLog](https://github.com/vladmandic/automatic/blob/m
step1x is a large dedicated image edit model combining qwen-2.5 8B encoder with custom 12.4B transformer
- [VIBE Image Edit](https://huggingface.co/iitolstykh/VIBE-Image-Edit) text-guided image editing model
built on Sana1.5-1.6B diffusion backbone with Qwen3-VL-2B multimodal conditioning
supports both image editing and text-to-image generation; uses multi-scale resolution binning up to 2048px
supports both *T2I* and *I2I* workflows, uses multi-scale resolution binning up to 2048px
- [AlphaVLLM Lumina-DiMOO](https://huggingface.co/Alpha-VLLM/Lumina-DiMOO) unified multimodal diffusion model
includes *T2I*, *I2I edit*, and *MMU* capabilities in a single pipeline
*note* in addition to normal prompt-based image editing, model also supports special prompts: *dense, canny_pred, control, subject, edit, ref_transfer, multi_view*
*note* as any multi-modal/unified model, it needs higher step count: recommended is 64 steps
*note* as with most multi-modal/unified models, it needs higher step count (recommended is 64 steps) and uses quite a lot of VRAM, so use with caution!
- [Owen777 UltraFlux-v1](https://huggingface.co/Owen777/UltraFlux-v1) native 4K text-to-image model based on FLUX.1-dev
*note*: UltraFlux is capable of rendering images up to 4K resolution, but it doesnt mean it will do that on any hardware - it will depend on your VRAM!
- **UI**