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ControlNet Celebahq Mask Output2

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

Sourcehuggingface.co/JoseGR1702/controlnet_celebahq_mask_output2/tree/f71d3ec2a2852e233c13ebe0b65e2f2236abca25
TypeControlNetModèle de baserunwayml/stable-diffusion-v1-5VersionBClasse

Source du modèle

Type
ControlNet
Taille du fichier
1,35 GB
Modèle de base
runwayml/stable-diffusion-v1-5
Version
vdiffusion_pytorch_model
Mis à jour
7 oct. 2026
Téléchargements
3
Source
Hugging Face

Description de la source

controlnet-JoseGR1702/controlnet_celebahq_mask_output2

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 photorealistic face of a person images_0) prompt: a photorealistic face of a person images_1) prompt: a photorealistic face of a person images_2) prompt: a photorealistic face of a person 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 f71d3ec2a2852e233c13ebe0b65e2f2236abca25
huggingface.co/JoseGR1702/controlnet_celebahq_mask_output2/tree/f71d3ec2a2852e233c13ebe0b65e2f2236abca25

Vérifié 7 oct.

Artefacts du modèle

1 artefact

checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 b65c88984267…a2a6 · Hugging Face

Download file

Extraits de sources

3 extraits
Readme30 juil.huggingface.co/JoseGR1702/controlnet_celebahq_mask_output2

--- base_model: runwayml/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-JoseGR1702/controlnet_celebahq_mask_output2 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 photorealistic face of a person ![images_0)](./images_0.png) prompt: a photorealistic face of a person ![images_1)](./images_1.png) prompt: a photorealistic face of a person ![images_2)](./images_2.png) prompt: a photorealistic face of a person ![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/JoseGR1702/controlnet_celebahq_mask_output2

Source context: 3 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo JoseGR1702/controlnet_celebahq_mask_output2

Note30 juil.huggingface.co/JoseGR1702/controlnet_celebahq_mask_output2

Source context: 4 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo JoseGR1702/controlnet_celebahq_mask_output2