How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline

controlnet = ControlNetModel.from_pretrained("taoshotaro/controlnet_test_base")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
	"stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet
)

controlnet-taoshotaro/controlnet_test_base

These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. You can find some example images below.

prompt: red circle with blue background images_0) prompt: cyan circle with brown floral background images_1)

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
5
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for taoshotaro/controlnet_test_base

Adapter
(8352)
this model