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Controlnetsdxl Pictures 20240920 0

These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning.

TipoControlNetModelo basestabilityai/stable-diffusion-xl-base-1.0VersãoBnota

Fonte do modelo

Tipo
ControlNet
Tamanho do arquivo
4,66 GB
Modelo base
stabilityai/stable-diffusion-xl-base-1.0
Versão
vdiffusion_pytorch_model
Atualizado
6 de out. de 2026
Downloads
5
Fonte
Hugging Face

Descrição da fonte

controlnet-pribadihcr/controlnetsdxl_Pictures_20240920_0

These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 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]

Fontes

1 fonte
Hugging FacePrimárioVersão cc5ff141f7111a0af7a1848074015699a2a9c3ad
huggingface.co/pribadihcr/controlnetsdxl_Pictures_20240920_0/tree/cc5ff141f7111a0af7a1848074015699a2a9c3ad

Verificado 6 de out.

Artefatos de modelo

1 artefato

checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 4,66 GB · SHA-256 8dc9ad83e397…8a6b · Hugging Face

Download file

Trechos de fonte

3 trechos

--- 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 - 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-pribadihcr/controlnetsdxl_Pictures_20240920_0 These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 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]

Source context: 5 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo pribadihcr/controlnetsdxl_Pictures_20240920_0

Source context: 4 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo pribadihcr/controlnetsdxl_Pictures_20240920_0