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ControlNet v1 5

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

TypeControlNetModèle de basestable-diffusion-v1-5/stable-diffusion-v1-5Versiondiffusion_pytorch_modelBClasse

Source du modèle

Type
ControlNet
Taille du fichier
1,35 GB
Modèle de base
stable-diffusion-v1-5/stable-diffusion-v1-5
Version
vdiffusion_pytorch_model
Mis à jour
7 oct. 2026
Téléchargements
9
Source
Hugging Face

Description de la source

controlnet-tuenguyen/controlnet_v1_5

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

prompt: light coral circle with white background images_0)

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 00771a81600551e13605dff1b5c535e2b6bda8d2
huggingface.co/meoconxinhxan/controlnet_v1_5/tree/00771a81600551e13605dff1b5c535e2b6bda8d2

Vérifié 7 oct.

Artefacts du modèle

1 artefact

diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 868e2bc92f14…2179 · Hugging Face

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Extraits de sources

3 extraits

--- 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-tuenguyen/controlnet_v1_5 These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below. prompt: light coral circle with white background ![images_0)](./images_0.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 · 0 likes · Pipeline text-to-image · Library diffusers · Repo meoconxinhxan/controlnet_v1_5

Source context: 4 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo meoconxinhxan/controlnet_v1_5