Zum Inhalt springen
ModelAufgelistetExtern
Herunterladen

Tryon ControlNet 1.2

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

ArtControlNetBasismodellrunwayml/stable-diffusion-inpaintingVersiondiffusion_pytorch_modelBBewertung

Modellquelle

Art
ControlNet
Dateigröße
1,35 GB
Basismodell
runwayml/stable-diffusion-inpainting
Version
vdiffusion_pytorch_model
Aktualisiert
7. Okt. 2026
Downloads
3
Quelle
Hugging Face

Quellenbeschreibung

controlnet-hoa-quickloop/tryon_controlnet_1.2

These are controlnet weights trained on runwayml/stable-diffusion-inpainting 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]

Quellen

1 Quelle
Hugging FacePrimärVersion 0ff8f90db2e77ce4dee3d1115a004e79fa0a4314
huggingface.co/hoa-quickloop/tryon_controlnet_1.2/tree/0ff8f90db2e77ce4dee3d1115a004e79fa0a4314

Verifiziert 7. Okt.

Modellartefakte

1 Artefakt

diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 bc1059b07070…8bb0 · Hugging Face

Download file

Quellenauszüge

3 Auszüge

--- license: creativeml-openrail-m library_name: diffusers tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - diffusers-training inference: true base_model: runwayml/stable-diffusion-inpainting --- <!-- 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_1.2 These are controlnet weights trained on runwayml/stable-diffusion-inpainting 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]

Source context: 3 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo hoa-quickloop/tryon_controlnet_1.2

Source context: 6 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo hoa-quickloop/tryon_controlnet_1.2