Instructions to use KBlueLeaf/Kohaku-XL-Zeta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KBlueLeaf/Kohaku-XL-Zeta with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KBlueLeaf/Kohaku-XL-Zeta", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Anima fine-tune
I'm a huge fan of your work and all the work you've done over the years.
Would ever consider doing a fine-tune of a great open source anime model co developed by Comfy Org called circlestone-labs/Anima.
The creator tdrussell is really good as well and each preview version has been a big improvement over the other. It would be awesome if you could collaborate with him too.
They now have a official turbo LORA too.
Just FYI I'm also employee of Comfy Org and already working there for year (part-time tho) (note I'm not engaged in Anima)
I do plan to do more stuff about anime t2i but now more focus on MLLM stuff (as I'm doing research related to VQ/token AR image gen)
And I may also investigate the possibility to continue the SDXL-neo project which aiming to improve SDXL to be more modern and on par with DiT based stuff.
But as I'm more focusing in research or some other opensource stuff (like KohakuTerrarium agent framework) I can't gurantee when will I obtain new model here.
Few "project" that I may start:
- Kohaku-DiT (directly pretrained from scratch, and larger than HDM)
- Kohaku-MLLM (native multi modal AR token gen model, but more focus on media generation)
- can be fully trained from scratch or tuned from open sourced model
- SDXL-neo
- I may consider to finetune current SDXL with following tech:
- flow-matching + logitnorm sampling
- Better VAE (with my latentmaird work, paper/code release soon)
- Better TE (directly replace with better TE like some small LLM or use ELLA like adapter approach)
- Will be general t2i at first, may trained with few dozen M general + anime images.
- I may consider to finetune current SDXL with following tech: