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ControlNet 2

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

Fuentehuggingface.co/ntaurozzi/controlnet_2/tree/75f58a5e41a636becbb8bef3faaa7c2dc2a4c6d3
TipoControlNetModelo baserunwayml/stable-diffusion-v1-5VersiónBcalidad

Fuente del modelo

Tipo
ControlNet
Tamaño del archivo
1,35 GB
Modelo base
runwayml/stable-diffusion-v1-5
Versión
vdiffusion_pytorch_model
Actualizado
7 oct 2026
Descargas
3
Fuente
Hugging Face

Descripción de la fuente

controlnet-ntaurozzi/controlnet_2

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]

Fuentes

1 fuente
Hugging FacePrincipalVersión 75f58a5e41a636becbb8bef3faaa7c2dc2a4c6d3
huggingface.co/ntaurozzi/controlnet_2/tree/75f58a5e41a636becbb8bef3faaa7c2dc2a4c6d3

Verificado 7 oct

Artefactos del modelo

1 artefacto

checkpoint-2500/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 e791cb2fb1d0…7b61 · Hugging Face

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Extractos de fuentes

3 extractos
Readme30 julhuggingface.co/ntaurozzi/controlnet_2

--- 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_2 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]

Note7 octhuggingface.co/ntaurozzi/controlnet_2

Source context: 3 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo ntaurozzi/controlnet_2

Note30 julhuggingface.co/ntaurozzi/controlnet_2

Source context: 1 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo ntaurozzi/controlnet_2