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Flir ControlNet 3epoch Chpt

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

TipoControlNetModelo baserunwayml/stable-diffusion-v1-5Versióndiffusion_pytorch_modelBcalidad

Fuente del modelo

Tipo
ControlNet
Tamaño del archivo
1,35 GB
Modelo base
runwayml/stable-diffusion-v1-5
Versión
vdiffusion_pytorch_model
Actualizado
7 oct 2026
Descargas
4
Fuente
Hugging Face

Descripción de la fuente

controlnet-newguyme/chpt

These are controlnet weights trained on runwayml/stable-diffusion-v1-5 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)

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 1d4af2bd3befb77a708af829bf9d0c414c54cedb
huggingface.co/newguyme/flir_controlnet_3epoch_chpt/tree/1d4af2bd3befb77a708af829bf9d0c414c54cedb

Verificado 7 oct

Artefactos del modelo

1 artefacto

diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 ac0b15ac05a6…1c4a · Hugging Face

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Extractos de fuentes

3 extractos

--- license: creativeml-openrail-m library_name: diffusers 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 base_model: runwayml/stable-diffusion-v1-5 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-newguyme/chpt These are controlnet weights trained on runwayml/stable-diffusion-v1-5 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) ## 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: 4 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo newguyme/flir_controlnet_3epoch_chpt

Source context: 0 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo newguyme/flir_controlnet_3epoch_chpt