controlnet-watsydney/animagine-result-3000

These are controlnet weights trained on cagliostrolab/animagine-xl-3.1 with new type of conditioning.

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]

Downloads last month: 0

Inference Examples

Text-to-Image

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for watsydney/animagine-result-10000

Base model

stabilityai/stable-diffusion-xl-base-1.0

Finetuned

Linaqruf/animagine-xl-2.0

Finetuned

cagliostrolab/animagine-xl-3.0

Finetuned

cagliostrolab/animagine-xl-3.1

Adapter

(22)

this model