Lam-Hung/controlnet_segment_interior

1---2license: creativeml-openrail-m3library_name: diffusers4tags:5- stable-diffusion6- stable-diffusion-diffusers7- text-to-image8- diffusers9- controlnet10- diffusers-training11base_model: runwayml/stable-diffusion-v1-512inference: true13---14 15<!-- This model card has been generated automatically according to the information the training script had access to. You16should probably proofread and complete it, then remove this comment. -->17 18 19# controlnet-Lam-Hung/controlnet_segment_interior20 21These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.22You can find some example images below.23 24prompt: 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.25![images_0)](./images_0.png)26prompt: 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.27![images_1)](./images_1.png)28 29 30 31## Intended uses & limitations32 33#### How to use34 35```python36# TODO: add an example code snippet for running this diffusion pipeline37```38 39#### Limitations and bias40 41[TODO: provide examples of latent issues and potential remediations]42 43## Training details44 45[TODO: describe the data used to train the model]