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-3000
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