Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("x444/controlnet")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet
)controlnet-x444/controlnet
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: Three overlapping rectangular banners in blue, yellow, and green with white circular elements create a modern infographic design on a subtle gray gradient background.
prompt: A series of vertical panels featuring vibrant half-circle designs in yellow, orange, green, blue, and purple on a white background, each with aligned text below, creating a modern and colorful infographic layout.

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 x444/controlnet
Base model
stabilityai/stable-diffusion-xl-base-1.0