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ControlNet 32D 05B

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

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
9
Source
Hugging Face

Description de la source

controlnet-ntaurozzi/controlnet_32D_05B

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

prompt: micrograph of cell in metaphase 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 3d55b87291b655b021d83757c448e4a10e274105
huggingface.co/ntaurozzi/controlnet_32D_05B/tree/3d55b87291b655b021d83757c448e4a10e274105

Vérifié 7 oct.

Artefacts du modèle

1 artefact

checkpoint-2500/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 f0932e5baef9…5742 · Hugging Face

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Extraits de sources

3 extraits

--- 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-ntaurozzi/controlnet_32D_05B These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below. prompt: micrograph of cell in metaphase ![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 ntaurozzi/controlnet_32D_05B

Source context: 0 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo ntaurozzi/controlnet_32D_05B