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ControlNet Floorplan

These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning.

Fontehuggingface.co/aqhareus/controlnet-floorplan/tree/ebc5f07ef9f2f9a5755d96efeebde6c5bfee18cd
TipoControlNetModelo basestable-diffusion-v1-5/stable-diffusion-v1-5VersãoBnota

Fonte do modelo

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

Descrição da fonte

controlnet-aqhareus/controlnet-floorplan

These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning.

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 ebc5f07ef9f2f9a5755d96efeebde6c5bfee18cd
huggingface.co/aqhareus/controlnet-floorplan/tree/ebc5f07ef9f2f9a5755d96efeebde6c5bfee18cd

Verificado 6 de out.

Artefatos de modelo

1 artefato

checkpoint-100/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 071801a7c415…41de · Hugging Face

Download file

Trechos de fonte

3 trechos
Readme29 de jul.huggingface.co/aqhareus/controlnet-floorplan

--- base_model: stable-diffusion-v1-5/stable-diffusion-v1-5 library_name: diffusers license: creativeml-openrail-m inference: true tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - diffusers-training --- <!-- 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-aqhareus/controlnet-floorplan These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. ## 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]

Note6 de out.huggingface.co/aqhareus/controlnet-floorplan

Source context: 6 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo aqhareus/controlnet-floorplan

Note29 de jul.huggingface.co/aqhareus/controlnet-floorplan

Source context: 2 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo aqhareus/controlnet-floorplan