Zum Inhalt springen
ModelAufgelistetExtern
Herunterladen

ControlNet Rect

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

Quellehuggingface.co/JaspervanLeuven/controlnet_rect/tree/d45223425321bb30aaf660b3d083d0d65f409a81
ArtControlNetBasismodellrunwayml/stable-diffusion-v1-5VersionBBewertung

Modellquelle

Art
ControlNet
Dateigröße
1,35 GB
Basismodell
runwayml/stable-diffusion-v1-5
Version
vdiffusion_pytorch_model
Aktualisiert
8. Okt. 2026
Downloads
3
Quelle
Hugging Face

Quellenbeschreibung

controlnet-JaspervanLeuven/controlnet5k

These are controlnet weights trained on runwayml/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]

Quellen

1 Quelle
Hugging FacePrimärVersion d45223425321bb30aaf660b3d083d0d65f409a81
huggingface.co/JaspervanLeuven/controlnet_rect/tree/d45223425321bb30aaf660b3d083d0d65f409a81

Verifiziert 8. Okt.

Modellartefakte

1 Artefakt

checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 5c71905b58cc…205c · Hugging Face

Download file

Quellenauszüge

3 Auszüge
Readme31. Julihuggingface.co/JaspervanLeuven/controlnet_rect

--- license: creativeml-openrail-m library_name: diffusers tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - diffusers-training base_model: runwayml/stable-diffusion-v1-5 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-JaspervanLeuven/controlnet5k These are controlnet weights trained on runwayml/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]

Note8. Okt.huggingface.co/JaspervanLeuven/controlnet_rect

Source context: 3 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo JaspervanLeuven/controlnet_rect

Note31. Julihuggingface.co/JaspervanLeuven/controlnet_rect

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