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Tryon ControlNet 1.1

These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.

Fuentehuggingface.co/hoa-quickloop/tryon_controlnet_1.1/tree/bc009b395b8709d1ae6a290bc1a8cd0c59a56736
TipoControlNetModelo basestabilityai/stable-diffusion-2-1-baseVersióndiffusion_pytorch_modelBcalidad

Fuente del modelo

Tipo
ControlNet
Tamaño del archivo
1,36 GB
Modelo base
stabilityai/stable-diffusion-2-1-base
Versión
vdiffusion_pytorch_model
Actualizado
7 oct 2026
Descargas
4
Fuente
Hugging Face

Descripción de la fuente

controlnet-hoa-quickloop/tryon_controlnet_1.1

These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base 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]

Fuentes

1 fuente
Hugging FacePrincipalVersión bc009b395b8709d1ae6a290bc1a8cd0c59a56736
huggingface.co/hoa-quickloop/tryon_controlnet_1.1/tree/bc009b395b8709d1ae6a290bc1a8cd0c59a56736

Verificado 7 oct

Artefactos del modelo

1 artefacto

diffusion_pytorch_model.safetensors

safetensors · 1,36 GB · SHA-256 628b50ce3b02…cf95 · Hugging Face

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Extractos de fuentes

3 extractos
Readme30 julhuggingface.co/hoa-quickloop/tryon_controlnet_1.1

--- license: creativeml-openrail-m library_name: diffusers tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - diffusers-training inference: true base_model: stabilityai/stable-diffusion-2-1-base --- <!-- 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-hoa-quickloop/tryon_controlnet_1.1 These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base 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]

Note7 octhuggingface.co/hoa-quickloop/tryon_controlnet_1.1

Source context: 4 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo hoa-quickloop/tryon_controlnet_1.1

Note30 julhuggingface.co/hoa-quickloop/tryon_controlnet_1.1

Source context: 1 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo hoa-quickloop/tryon_controlnet_1.1