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Generated ControlNet

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.

TipoControlNetModelo basestable-diffusion-v1-5/stable-diffusion-v1-5VersiónBcalidad

Fuente del modelo

Tipo
ControlNet
Tamaño del archivo
1,35 GB
Modelo base
stable-diffusion-v1-5/stable-diffusion-v1-5
Versión
vdiffusion_pytorch_model
Actualizado
6 oct 2026
Descargas
8
Fuente
Hugging Face

Descripción de la fuente

controlnet-pribadihcr/generated_controlnet

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: a photo of sks pcb contain 8 defects. 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 1e996488f55dc03dd686b450e2c405c67af9ada0
huggingface.co/pribadihcr/generated_controlnet/tree/1e996488f55dc03dd686b450e2c405c67af9ada0

Verificado 6 oct

Artefactos del modelo

1 artefacto

checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 bf6d20a03891…305f · Hugging Face

Download file

Extractos de fuentes

3 extractos

--- base_model: stable-diffusion-v1-5/stable-diffusion-v1-5 library_name: diffusers license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - diffusers-training inference: true --- <!-- 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-pribadihcr/generated_controlnet 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: a photo of sks pcb contain 8 defects. ![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: 8 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo pribadihcr/generated_controlnet

Source context: 6 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo pribadihcr/generated_controlnet