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ControlNet Too Simple SAM

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

Sourcehuggingface.co/SS-max/controlnet_too_simple_SAM/tree/1e3679624c9e696629220389b1ac64a55bf85339
TypeControlNetModèle de basestabilityai/stable-diffusion-2-1-baseVersionBClasse

Source du modèle

Type
ControlNet
Taille du fichier
1,36 GB
Modèle de base
stabilityai/stable-diffusion-2-1-base
Version
vdiffusion_pytorch_model
Mis à jour
7 oct. 2026
Téléchargements
6
Source
Hugging Face

Description de la source

controlnet-SS-max/controlnet_too_simple_SAM

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

prompt: Fast Halloween Desserts: How to Make Easy Ghost Treats for Trick-or-Treat! images_0)

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 FacePrincipalVersion 1e3679624c9e696629220389b1ac64a55bf85339
huggingface.co/SS-max/controlnet_too_simple_SAM/tree/1e3679624c9e696629220389b1ac64a55bf85339

Vérifié 7 oct.

Artefacts du modèle

1 artefact

checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,36 GB · SHA-256 83be895b8fe1…202c · Hugging Face

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Extraits de sources

3 extraits
Readme30 juil.huggingface.co/SS-max/controlnet_too_simple_SAM

--- base_model: stabilityai/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 - 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-SS-max/controlnet_too_simple_SAM These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning. You can find some example images below. prompt: Fast Halloween Desserts: How to Make Easy Ghost Treats for Trick-or-Treat! ![images_0)](./images_0.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]

Note7 oct.huggingface.co/SS-max/controlnet_too_simple_SAM

Source context: 6 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo SS-max/controlnet_too_simple_SAM

Note30 juil.huggingface.co/SS-max/controlnet_too_simple_SAM

Source context: 0 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo SS-max/controlnet_too_simple_SAM