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ControlNet Mvtec

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

Fontehuggingface.co/pribadihcr/controlnet_mvtec/tree/254bbb9dc8a7147c6c35baea0977974a3cbbd8c2
TipoControlNetModelo baserunwayml/stable-diffusion-v1-5VersãoBnota

Fonte do modelo

Tipo
ControlNet
Tamanho do arquivo
1,35 GB
Modelo base
runwayml/stable-diffusion-v1-5
Versão
vdiffusion_pytorch_model
Atualizado
8 de out. de 2026
Fonte
Hugging Face

Descrição da fonte

controlnet-pribadihcr/controlnet_mvtec

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 metal_nut with a bent images_0) prompt: a metal_nut with a bent images_1)

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]

Fontes

1 fonte
Hugging FacePrimárioVersão 254bbb9dc8a7147c6c35baea0977974a3cbbd8c2
huggingface.co/pribadihcr/controlnet_mvtec/tree/254bbb9dc8a7147c6c35baea0977974a3cbbd8c2

Verificado 8 de out.

Artefatos de modelo

1 artefato

checkpoint-12000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 4701b799f603…ff3b · Hugging Face

Download file

Trechos de fonte

2 trechos
Readme31 de jul.huggingface.co/pribadihcr/controlnet_mvtec

--- base_model: runwayml/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/controlnet_mvtec 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 metal_nut with a bent ![images_0)](./images_0.png) prompt: a metal_nut with a bent ![images_1)](./images_1.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]

Note31 de jul.huggingface.co/pribadihcr/controlnet_mvtec

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