Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("kwanY/EAS4")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"SG161222/RealVisXL_V3.0", controlnet=controlnet
)controlnet-kwanY/EAS4
These are AlignNet weights trained on SG161222/RealVisXL_V3.0 with Pose, Expression and Sparse landmark conditions. You can find some example images below.
prompt: photo of a human
prompt: A render of a head of Disney character
prompt: a FHD head of an Orc
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 kwanY/EAS4
Base model
SG161222/RealVisXL_V3.0