Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("kushaaagr/controlnet-colorpalette")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Manojb/stable-diffusion-2-1-base", controlnet=controlnet
)controlnet-kushaaagr/controlnet-colorpalette
These are controlnet weights trained on Manojb/stable-diffusion-2-1-base with new type of conditioning. You can find some example images below.
prompt: mouth of a hippopotamus
prompt: a cow
prompt: a bike on a land
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 kushaaagr/controlnet-colorpalette
Base model
Manojb/stable-diffusion-2-1-base