Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("olduvai-jp/controlnet_xl_x4")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"cagliostrolab/animagine-xl-3.1", controlnet=controlnet
)controlnet-olduvai-jp/x4
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 olduvai-jp/controlnet_xl_x4
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