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ControlNet Room Roland Null

These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.

TipoControlNetModelo baserunwayml/stable-diffusion-v1-5VersiónBcalidad

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
5
Fuente
Hugging Face

Descripción de la fuente

controlnet-leonbp/controlnet-room_roland_null

These are controlnet weights trained on runwayml/stable-diffusion-v1-5 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 9028a9de1aac5a596c840a4e07b1cb29113ea4dc
huggingface.co/leonbp/controlnet-room_roland_null/tree/9028a9de1aac5a596c840a4e07b1cb29113ea4dc

Verificado 7 oct

Artefactos del modelo

1 artefacto

checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 60c10162e62b…8a26 · 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 - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet inference: true base_model: runwayml/stable-diffusion-v1-5 --- <!-- 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-leonbp/controlnet-room_roland_null These are controlnet weights trained on runwayml/stable-diffusion-v1-5 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 leonbp/controlnet-room_roland_null

Source context: 0 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo leonbp/controlnet-room_roland_null