Skip to content
ModelListedExternal
Download

Tryon ControlNet 1.1

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

Sourcehuggingface.co/hoa-quickloop/tryon_controlnet_1.1/tree/bc009b395b8709d1ae6a290bc1a8cd0c59a56736
KindControlNetBase modelstabilityai/stable-diffusion-2-1-baseVersiondiffusion_pytorch_modelBgrade

Model source

Kind
ControlNet
File size
1.36 GB
Base model
stabilityai/stable-diffusion-2-1-base
Version
vdiffusion_pytorch_model
Updated
Oct 7, 2026
Downloads
4
Source
Hugging Face

Source description

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]

Sources

1 source
Hugging FacePrimaryVersion bc009b395b8709d1ae6a290bc1a8cd0c59a56736
huggingface.co/hoa-quickloop/tryon_controlnet_1.1/tree/bc009b395b8709d1ae6a290bc1a8cd0c59a56736

Verified Oct 7

Model artifacts

1 artifact

diffusion_pytorch_model.safetensors

safetensors · 1.36 GB · SHA-256 628b50ce3b02…cf95 · Hugging Face

Download file

Source excerpts

3 excerpts
ReadmeJul 30huggingface.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]

NoteOct 7huggingface.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

NoteJul 30huggingface.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