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("Lam-Hung/controlnet_segment_interior")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
	"runwayml/stable-diffusion-v1-5", controlnet=controlnet
)

controlnet-Lam-Hung/controlnet_segment_interior

These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.

prompt: A Bauhaus-inspired living room with a sleek black leather sofa, a tubular steel coffee table exemplifying modernist design, and a geometric patterned rug adding a touch of artistic flair. images_0) prompt: A glamorous master bedroom in Hollywood Regency style, boasting a plush tufted headboard, mirrored furniture reflecting elegance, luxurious fabrics in rich textures, and opulent gold accents for a touch of luxury. 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
2
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for Lam-Hung/controlnet_segment_interior

Adapter
(2739)
this model

Space using Lam-Hung/controlnet_segment_interior 1