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Fingerprint 1 ControlNet

These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. You can find some example images below.

Fuentehuggingface.co/mittwochastronaut/fingerprint_1_controlnet/tree/3a3c1417891ab77593f850040f3122c0bfc5abd2
TipoControlNetModelo basestabilityai/stable-diffusion-xl-base-1.0VersiónBcalidad

Fuente del modelo

Tipo
ControlNet
Tamaño del archivo
4,66 GB
Modelo base
stabilityai/stable-diffusion-xl-base-1.0
Versión
vdiffusion_pytorch_model
Actualizado
8 oct 2026
Descargas
3
Fuente
Hugging Face

Descripción de la fuente

controlnet-mittwochastronaut/fingerprint_1_controlnet

These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. You can find some example images below.

prompt: a fingerprint image from Identicator Technology images_0) prompt: a fingerprint image from Biometrika images_1) prompt: a fingerprint image from CrossMatch 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 3a3c1417891ab77593f850040f3122c0bfc5abd2
huggingface.co/mittwochastronaut/fingerprint_1_controlnet/tree/3a3c1417891ab77593f850040f3122c0bfc5abd2

Verificado 8 oct

Artefactos del modelo

1 artefacto

checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 4,66 GB · SHA-256 ed76d381dcd2…bd76 · Hugging Face

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Extractos de fuentes

3 extractos
Readme31 julhuggingface.co/mittwochastronaut/fingerprint_1_controlnet

--- base_model: stabilityai/stable-diffusion-xl-base-1.0 library_name: diffusers license: openrail++ inference: true tags: - stable-diffusion-xl - stable-diffusion-xl-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-mittwochastronaut/fingerprint_1_controlnet These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. You can find some example images below. prompt: a fingerprint image from Identicator Technology ![images_0)](./images_0.png) prompt: a fingerprint image from Biometrika ![images_1)](./images_1.png) prompt: a fingerprint image from CrossMatch ![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]

Note8 octhuggingface.co/mittwochastronaut/fingerprint_1_controlnet

Source context: 3 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo mittwochastronaut/fingerprint_1_controlnet

Note31 julhuggingface.co/mittwochastronaut/fingerprint_1_controlnet

Source context: 0 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo mittwochastronaut/fingerprint_1_controlnet