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ControlNet Height

These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning. You can find some example images below.

Sourcehuggingface.co/sidnarsipur/controlnet_height/tree/44de9b3c7b2dba270c25cd0616fc031ae85728ca
TypeControlNetModèle de basestabilityai/stable-diffusion-2-1-baseVersionBClasse

Source du modèle

Type
ControlNet
Taille du fichier
1,36 GB
Modèle de base
stabilityai/stable-diffusion-2-1-base
Version
vdiffusion_pytorch_model
Mis à jour
7 oct. 2026
Téléchargements
58
Source
Hugging Face

Description de la source

controlnet-sidnarsipur/controlnet_models

These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning. You can find some example images below.

prompt: Height Map images_0) prompt: Height Map images_1) prompt: Height Map images_2) prompt: Height Map images_3)

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]

Sources

1 source
Hugging FacePrincipalVersion 44de9b3c7b2dba270c25cd0616fc031ae85728ca
huggingface.co/sidnarsipur/controlnet_height/tree/44de9b3c7b2dba270c25cd0616fc031ae85728ca

Vérifié 7 oct.

Artefacts du modèle

1 artefact

checkpoint-12000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,36 GB · SHA-256 0258d1753951…5a8a · Hugging Face

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Extraits de sources

3 extraits
Readme30 juil.huggingface.co/sidnarsipur/controlnet_height

--- license: creativeml-openrail-m library_name: diffusers tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - diffusers-training - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - diffusers-training base_model: stabilityai/stable-diffusion-2-1-base inference: true datasets: - gvecchio/MatSynth --- <!-- 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-sidnarsipur/controlnet_models These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning. You can find some example images below. prompt: Height Map ![images_0)](./images_0.png) prompt: Height Map ![images_1)](./images_1.png) prompt: Height Map ![images_2)](./images_2.png) prompt: Height Map ![images_3)](./images_3.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]

Note7 oct.huggingface.co/sidnarsipur/controlnet_height

Source context: 58 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo sidnarsipur/controlnet_height

Note30 juil.huggingface.co/sidnarsipur/controlnet_height

Source context: 3 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo sidnarsipur/controlnet_height