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ControlNet

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

ArtControlNetBasismodellrunwayml/stable-diffusion-v1-5VersionBBewertung

Modellquelle

Art
ControlNet
Dateigröße
1,36 GB
Basismodell
runwayml/stable-diffusion-v1-5
Version
vdiffusion_pytorch_model
Aktualisiert
7. Okt. 2026
Downloads
7
Quelle
Hugging Face

Quellenbeschreibung

controlnet-ntaurozzi/controlnet

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 micrograph of an allium cepa root tip mitotic cell 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]

Quellen

1 Quelle
Hugging FacePrimärVersion 3266fe627c74670a0167d1f715a3ea4269d2619c
huggingface.co/ntaurozzi/controlnet/tree/3266fe627c74670a0167d1f715a3ea4269d2619c

Verifiziert 7. Okt.

Modellartefakte

1 Artefakt

checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,36 GB · SHA-256 dd87c13d1694…36a3 · Hugging Face

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Quellenauszüge

3 Auszüge

--- 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 - 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 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 micrograph of an allium cepa root tip mitotic cell ![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: 7 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo ntaurozzi/controlnet

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