Aller au contenu
ModelPrésentéExterne
Télécharger

Flux Dev ControlNet Fill1k

These are controlnet weights trained on black-forest-labs/FLUX.1-dev with new type of conditioning.

TypeControlNetModèle de baseblack-forest-labs/FLUX.1-devVersiondiffusion_pytorch_modelBClasse

Source du modèle

Type
ControlNet
Taille du fichier
5,37 GB
Modèle de base
black-forest-labs/FLUX.1-dev
Version
vdiffusion_pytorch_model
Mis à jour
6 oct. 2026
Source
Hugging Face

Description de la source

controlnet-lucataco/flux-dev-controlnet-fill1k

These are controlnet weights trained on black-forest-labs/FLUX.1-dev with new type of conditioning.

License

Please adhere to the licensing terms as described here

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]

Sources

1 source
Hugging FacePrincipalVersion 8c7342060cb9684177bef892348ac71ab3ffee30
huggingface.co/lucataco/flux-dev-controlnet-fill1k/tree/8c7342060cb9684177bef892348ac71ab3ffee30

Vérifié 6 oct.

Artefacts du modèle

1 artefact

diffusion_pytorch_model.safetensors

safetensors · 5,37 GB · SHA-256 9f7c2451c2c8…fa22 · Hugging Face

Download file

Extraits de sources

2 extraits

--- base_model: black-forest-labs/FLUX.1-dev library_name: diffusers license: other tags: - flux - flux-diffusers - text-to-image - diffusers - controlnet - diffusers-training 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-lucataco/flux-dev-controlnet-fill1k These are controlnet weights trained on black-forest-labs/FLUX.1-dev with new type of conditioning. ## License Please adhere to the licensing terms as described [here](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md) ## 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: 11 downloads · 2 likes · Pipeline text-to-image · Library diffusers · Repo lucataco/flux-dev-controlnet-fill1k