Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
controlnet
control-lora-v3
diffusers-training
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("lyfs/control_lora_v3-model")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet
)sdxl-control-lora-v3-lyfs/control_lora_v3-model
These are control-lora-v3 weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. You can find some example images below.
prompt: segmentation
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 lyfs/control_lora_v3-model
Base model
stabilityai/stable-diffusion-xl-base-1.0