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ControlNet Depth Interior

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

TipoControlNetModelo baserunwayml/stable-diffusion-v1-5VersãoBnota

Fonte do modelo

Tipo
ControlNet
Tamanho do arquivo
1,35 GB
Modelo base
runwayml/stable-diffusion-v1-5
Versão
vdiffusion_pytorch_model
Atualizado
6 de out. de 2026
Downloads
9
Fonte
Hugging Face

Descrição da fonte

controlnet-Lam-Hung/controlnet_depth_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]

Fontes

1 fonte
Hugging FacePrimárioVersão ca979ccac554467b760ff020ea23177eb8a5e7f4
huggingface.co/Lam-Hung/controlnet_depth_interior/tree/ca979ccac554467b760ff020ea23177eb8a5e7f4

Verificado 6 de out.

Artefatos de modelo

1 artefato

checkpoint-2000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 4fff4791c1d2…c881 · Hugging Face

Download file

Trechos de fonte

3 trechos

--- license: creativeml-openrail-m library_name: diffusers tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - diffusers-training base_model: runwayml/stable-diffusion-v1-5 inference: true --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. --> # controlnet-Lam-Hung/controlnet_depth_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)](./images_0.png) 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)](./images_1.png) ## Intended uses & limitations #### How to use ```python # 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]

Source context: 9 downloads · 2 likes · Pipeline text-to-image · Library diffusers · Repo Lam-Hung/controlnet_depth_interior

Source context: 4 downloads · 2 likes · Pipeline text-to-image · Library diffusers · Repo Lam-Hung/controlnet_depth_interior