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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.

Fuentehuggingface.co/Qistinasofea/controlnet-floorplan/tree/dec09b66796fd17ded6dd2f3a31741d531a3cfd5
TipoControlNetModelo basestable-diffusion-v1-5/stable-diffusion-v1-5VersiónBcalidad

Fuente del modelo

Tipo
ControlNet
Tamaño del archivo
1,35 GB
Modelo base
stable-diffusion-v1-5/stable-diffusion-v1-5
Versión
vdiffusion_pytorch_model
Actualizado
6 oct 2026
Descargas
2
Fuente
Hugging Face

Descripción de la fuente

controlnet-Qistinasofea/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]

Fuentes

1 fuente
Hugging FacePrincipalVersión dec09b66796fd17ded6dd2f3a31741d531a3cfd5
huggingface.co/Qistinasofea/controlnet-floorplan/tree/dec09b66796fd17ded6dd2f3a31741d531a3cfd5

Verificado 6 oct

Artefactos del modelo

1 artefacto

checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 fdc59a1145f8…7169 · Hugging Face

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Extractos de fuentes

3 extractos
Readme29 julhuggingface.co/Qistinasofea/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-Qistinasofea/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 octhuggingface.co/Qistinasofea/controlnet-floorplan

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

Note29 julhuggingface.co/Qistinasofea/controlnet-floorplan

Source context: 3 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Qistinasofea/controlnet-floorplan