Built a tool for anyone drowning in huge image folders: HybridScorer
https://redd.it/1sg5paj
@rStableDiffusion
Anima Preview 3 is out and its better than illustrious or pony.

this is the biggest potential "best diffuser ever" for anime kind of diffusers. just take a look at it on civitai try it and you will never want to use illustrious or pony ever again.

https://redd.it/1sgfjbs
@rStableDiffusion
ACE-Step 1.5 XL Turbo — BF16 version (converted from FP32)

I converted the ACE-Step 1.5 XL Turbo model from FP32 to BF16.

The original weights were \~18.8 GB in FP32, this version is \~9.97 GB — same quality, lower VRAM usage.

🤗 https://huggingface.co/marcorez8/acestep-v15-xl-turbo-bf16

https://redd.it/1sgiqg7
@rStableDiffusion
Qwen 2512 is so Underrated, prompt understanding is really great, only Flux 2 Dev is better. I'm using Q4KS with 4-6 steps and it is fast (20-30 sec per gen), almost as fast as Anima model. It just need that LoRA love from the community.

https://redd.it/1sgnfv0
@rStableDiffusion
Batch caption your entire image dataset locally (no API, no cost)

I was preparing datasets for LoRA / training and needed a fast way to caption a large number of images locally. Most tools I used were painfully slow either in generation or in editing captions.

So made few utily python scripts to caption images in bulk. It uses locally installed LM Studio in API mode with any vision LLM model i.e. Gemma 4, Qwen 3.5, etc.

GitHub: https://github.com/vizsumit/image-captioner

If you’re doing LoRA training dataset prep, this might save you some time.

https://redd.it/1sgk4yu
@rStableDiffusion
Outside of training a Lora what do people do to keep a face looking correct when making edits to an image?

Mostly been using Klein and Qwen. As per the title, if you change positions, angles of the person in the starting image too much, they lose the likeliness. I've tried using a close up of the face as a 2nd image reference, and tried inpainting on a second pass. Any other ideas?

There's also a Best Face Swap lora which I thought might work but with the same face, but nope.

https://redd.it/1sgvzed
@rStableDiffusion