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Sd21 ControlNet Circlefill T 50K Epoch 1 Lr 1e 5 Checkpoints 2000

These are controlnet weights trained on Manojb/stable-diffusion-2-1-base with new type of conditioning. You can find some example images below.

ArtControlNetBasismodellManojb/stable-diffusion-2-1-baseVersionBBewertung

Modellquelle

Art
ControlNet
Dateigröße
1,36 GB
Basismodell
Manojb/stable-diffusion-2-1-base
Version
vdiffusion_pytorch_model
Aktualisiert
7. Okt. 2026
Downloads
13
Quelle
Hugging Face

Quellenbeschreibung

controlnet-kushaaagr/sd21_controlnet-circlefill-t_50K-epoch_1-lr_1e-5-checkpoints_2000

These are controlnet weights trained on Manojb/stable-diffusion-2-1-base with new type of conditioning. You can find some example images below.

prompt: red circle with blue background images_0) prompt: cyan circle with brown floral background images_1) prompt: purple circle with star-filled background images_2)

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

Modellartefakte

1 Artefakt

checkpoint-2000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,36 GB · SHA-256 111094dd1f4a…e329 · Hugging Face

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Quellenauszüge

3 Auszüge

--- base_model: Manojb/stable-diffusion-2-1-base library_name: diffusers license: creativeml-openrail-m inference: true tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - diffusers-training --- <!-- 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-kushaaagr/sd21_controlnet-circlefill-t_50K-epoch_1-lr_1e-5-checkpoints_2000 These are controlnet weights trained on Manojb/stable-diffusion-2-1-base with new type of conditioning. You can find some example images below. prompt: red circle with blue background ![images_0)](./images_0.png) prompt: cyan circle with brown floral background ![images_1)](./images_1.png) prompt: purple circle with star-filled background ![images_2)](./images_2.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: 13 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo kushaaagr/sd21_controlnet-circlefill-t_50K-epoch_1-lr_1e-5-checkpoints_2000

Source context: 1 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo kushaaagr/sd21_controlnet-circlefill-t_50K-epoch_1-lr_1e-5-checkpoints_2000