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ControlNet Dot 20K 25000

These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.

Fuentehuggingface.co/VivianYueh/Controlnet_dot_20K_25000/tree/f3f1ece05fc9cdcc29e941a1dd4ec2ff6e4a4e09
TipoControlNetModelo basestabilityai/stable-diffusion-2-1-baseVersióndiffusion_pytorch_modelBcalidad

Fuente del modelo

Tipo
ControlNet
Tamaño del archivo
1,36 GB
Modelo base
stabilityai/stable-diffusion-2-1-base
Versión
vdiffusion_pytorch_model
Actualizado
6 oct 2026
Descargas
6
Fuente
Hugging Face

Descripción de la fuente

controlnet-VivianYueh/Controlnet_dot_20K_25000

These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base 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]

Fuentes

1 fuente
Hugging FacePrincipalVersión f3f1ece05fc9cdcc29e941a1dd4ec2ff6e4a4e09
huggingface.co/VivianYueh/Controlnet_dot_20K_25000/tree/f3f1ece05fc9cdcc29e941a1dd4ec2ff6e4a4e09

Verificado 6 oct

Artefactos del modelo

1 artefacto

diffusion_pytorch_model.safetensors

safetensors · 1,36 GB · SHA-256 830775c4a7fe…fc19 · Hugging Face

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Extractos de fuentes

3 extractos
Readme29 julhuggingface.co/VivianYueh/Controlnet_dot_20K_25000

--- base_model: stabilityai/stable-diffusion-2-1-base library_name: diffusers license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-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-VivianYueh/Controlnet_dot_20K_25000 These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base 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]

Note6 octhuggingface.co/VivianYueh/Controlnet_dot_20K_25000

Source context: 6 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo VivianYueh/Controlnet_dot_20K_25000

Note29 julhuggingface.co/VivianYueh/Controlnet_dot_20K_25000

Source context: 0 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo VivianYueh/Controlnet_dot_20K_25000