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My ControlNet

These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning.

Fontehuggingface.co/Jason248/my_controlnet/tree/3c517a33a4a72964cafe1b2964e62c403ec1bd24
TipoControlNetModelo basestable-diffusion-v1-5/stable-diffusion-v1-5VersãoBnota

Fonte do modelo

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

Descrição da fonte

controlnet-Jason248/my_controlnet

These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning.

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 3c517a33a4a72964cafe1b2964e62c403ec1bd24
huggingface.co/Jason248/my_controlnet/tree/3c517a33a4a72964cafe1b2964e62c403ec1bd24

Verificado 7 de out.

Artefatos de modelo

1 artefato

checkpoint-3000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 f398d8b67da3…d6c2 · Hugging Face

Download file

Trechos de fonte

2 trechos
Readme30 de jul.huggingface.co/Jason248/my_controlnet

--- base_model: stable-diffusion-v1-5/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-Jason248/my_controlnet These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. ## 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]

Note30 de jul.huggingface.co/Jason248/my_controlnet

Source context: 8 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Jason248/my_controlnet