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Qrcode ControlNet v4

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

Sourcehuggingface.co/yuanqiuye/qrcode_controlnet_v4/tree/b16d708b67d605909ff43dd0e28655e33805f7c8
TypeControlNetModèle de basebenjamin-paine/stable-diffusion-v1-5VersionBClasse

Source du modèle

Type
ControlNet
Taille du fichier
1,35 GB
Modèle de base
benjamin-paine/stable-diffusion-v1-5
Version
vdiffusion_pytorch_model
Mis à jour
8 oct. 2026
Téléchargements
2
Source
Hugging Face

Description de la source

controlnet-yuanqiuye/qrcode_controlnet_v4

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

prompt: a beautiful flower images_0) prompt: a blue ocean 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]

Sources

1 source
Hugging FacePrincipalVersion b16d708b67d605909ff43dd0e28655e33805f7c8
huggingface.co/yuanqiuye/qrcode_controlnet_v4/tree/b16d708b67d605909ff43dd0e28655e33805f7c8

Vérifié 8 oct.

Artefacts du modèle

1 artefact

checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 62ea18647a0d…f45a · Hugging Face

Download file

Extraits de sources

3 extraits
Readme31 juil.huggingface.co/yuanqiuye/qrcode_controlnet_v4

--- base_model: benjamin-paine/stable-diffusion-v1-5 library_name: diffusers license: creativeml-openrail-m 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 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-yuanqiuye/qrcode_controlnet_v4 These are controlnet weights trained on benjamin-paine/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below. prompt: a beautiful flower ![images_0)](./images_0.png) prompt: a blue ocean ![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]

Note8 oct.huggingface.co/yuanqiuye/qrcode_controlnet_v4

Source context: 2 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo yuanqiuye/qrcode_controlnet_v4

Note31 juil.huggingface.co/yuanqiuye/qrcode_controlnet_v4

Source context: 0 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo yuanqiuye/qrcode_controlnet_v4