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-title: CatCon Controlnet SD 1 5 B2
-emoji: 🐨
-colorFrom: blue
-colorTo: indigo
-sdk: gradio
-sdk_version: 4.44.0
-app_file: app.py
-pinned: true
-license: mit
-tags:
-- jax-diffusers-event
-- jax
-- Text-To-Image
-- Diffusers
-- Controlnet
-- Stable-Diffusion
-datasets:
-- animelover/danbooru2022
-models:
-- Ryukijano/CatCon-Controlnet-WD-1-5-b2R
-- Cognomen/CatCon-Controlnet-WD-1-5-b2
----
-
-Experimental proof of concept made for the [Huggingface JAX/Diffusers community sprint](https://github.com/huggingface/community-events/tree/main/jax-controlnet-sprint)
-
-[Demo available here](https://huggingface.co/spaces/Ryukijano/CatCon-One-Shot-Controlnet-SD-1-5-b2)
-[My teammate's demo is available here] (https://huggingface.co/spaces/Cognomen/CatCon-Controlnet-WD-1-5-b2) 
-
-This is a controlnet for the Stable Diffusion checkpoint [Waifu Diffusion 1.5 beta 2](https://huggingface.co/waifu-diffusion/wd-1-5-beta2) which aims to guide image generation by conditioning outputs with patches of images from a common category of the training target examples. The current checkpoint has been trained for approx. 100k steps on a filtered subset of [Danbooru 2021](https://gwern.net/danbooru2021) using artists as the conditioned category with the aim of learning robust style transfer from an image example.
-
-Major limitations:
-
- - The current checkpoint was trained on 768x768 crops without aspect ratio checkpointing. Loss in coherence for non-square aspect ratios can be expected.
- - The training dataset is extremely noisy and used without filtering stylistic outliers from within each category, so performance may be less than ideal. A more diverse dataset with a larger variety of styles and categories would likely have better performance.
- - The Waifu Diffusion base model is a hybrid anime/photography model, and can unpredictably jump between those modalities.
- - As styling is sensitive to divergences in model checkpoints, the capabilities of this controlnet are not expected to predictably apply to other SD 2.X checkpoints.
-
-Waifu Diffusion 1.5 beta 2 is licensed under [Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/). This controlnet imposes no restrictions beyond the MIT license, but it cannot be used independently of a base model.
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-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference