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ControlNet Model 01

These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. You can find some example images below.

ArtControlNetBasismodellstabilityai/stable-diffusion-xl-base-1.0VersionBBewertung

Modellquelle

Art
ControlNet
Dateigröße
4,66 GB
Basismodell
stabilityai/stable-diffusion-xl-base-1.0
Version
vdiffusion_pytorch_model
Aktualisiert
7. Okt. 2026
Downloads
5
Quelle
Hugging Face

Quellenbeschreibung

controlnet-shreyasvivek-kulkarni/controlnet_model_01

These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. You can find some example images below.

prompt: images_0) prompt: young girl smiling images_1) prompt: images_2) prompt: smiling child with blue jacket and blue tie on smiling at camera images_3)

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 f49c5d82c8de19056125d853c3e0856410ed9897
huggingface.co/shreyasvivek-kulkarni/controlnet_model_01/tree/f49c5d82c8de19056125d853c3e0856410ed9897

Verifiziert 7. Okt.

Modellartefakte

1 Artefakt

checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 4,66 GB · SHA-256 352225a76aba…2f55 · Hugging Face

Download file

Quellenauszüge

3 Auszüge

--- base_model: stabilityai/stable-diffusion-xl-base-1.0 library_name: diffusers license: openrail++ tags: - stable-diffusion-xl - stable-diffusion-xl-diffusers - text-to-image - diffusers - controlnet - diffusers-training 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-shreyasvivek-kulkarni/controlnet_model_01 These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. You can find some example images below. prompt: ![images_0)](./images_0.png) prompt: young girl smiling ![images_1)](./images_1.png) prompt: ![images_2)](./images_2.png) prompt: smiling child with blue jacket and blue tie on smiling at camera ![images_3)](./images_3.png) ## 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: 5 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo shreyasvivek-kulkarni/controlnet_model_01

Source context: 0 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo shreyasvivek-kulkarni/controlnet_model_01