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Sd15 ControlNet Colorguide T 20K Epoch 5 Lr 1e 5

These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.

Fuentehuggingface.co/kushaaagr/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5/tree/d694de4b12527557840df2b07582a61da7582d94
TipoControlNetModelo basestable-diffusion-v1-5/stable-diffusion-v1-5VersiónBcalidad

Fuente del modelo

Tipo
ControlNet
Tamaño del archivo
1,35 GB
Modelo base
stable-diffusion-v1-5/stable-diffusion-v1-5
Versión
vdiffusion_pytorch_model
Actualizado
7 oct 2026
Descargas
14
Fuente
Hugging Face

Descripción de la fuente

controlnet-kushaaagr/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5

These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.

prompt: a photo of a dog images_0) prompt: a monitor with wallpaper images_1) prompt: a photo of a shark 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]

Fuentes

1 fuente
Hugging FacePrincipalVersión d694de4b12527557840df2b07582a61da7582d94
huggingface.co/kushaaagr/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5/tree/d694de4b12527557840df2b07582a61da7582d94

Verificado 7 oct

Artefactos del modelo

1 artefacto

checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 936a6fd3c150…cc76 · Hugging Face

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Extractos de fuentes

3 extractos
Readme30 julhuggingface.co/kushaaagr/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5

--- base_model: stable-diffusion-v1-5/stable-diffusion-v1-5 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/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5 These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below. prompt: a photo of a dog ![images_0)](./images_0.png) prompt: a monitor with wallpaper ![images_1)](./images_1.png) prompt: a photo of a shark ![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]

Note7 octhuggingface.co/kushaaagr/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5

Source context: 14 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo kushaaagr/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5

Note30 julhuggingface.co/kushaaagr/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5

Source context: 5 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo kushaaagr/sd15_controlnet-colorguide-t_20K-epoch_5-lr_1e-5