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]

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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

(25)

this model