Vous avez un workflow ComfyUI ? Obtenez une documentation lisible directement dans votre navigateur.Rendre un workflow lisible.Essayer maintenant ↗
These are controlnet weights trained on SG161222/RealVisXLV4.0 with new type of conditioning.
Source du modèle
Description de la source
These are controlnet weights trained on SG161222/RealVisXL_V4.0 with new type of conditioning.
# TODO: add an example code snippet for running this diffusion pipeline
[TODO: provide examples of latent issues and potential remediations]
Sources
1 sourceVérifié 30 juil.
Artefacts du modèle
2 artefactscheckpoint-1000/controlnet/diffusion_pytorch_model.safetensors
safetensors · 4,66 GB · SHA-256 b9b141f4bb7c…c491 · Hugging Face
Téléchargerdiffusion_pytorch_model.safetensors
safetensors · 4,66 GB · SHA-256 b9b141f4bb7c…c491 · Hugging Face
TéléchargerExtraits de sources
2 extraits--- base_model: SG161222/RealVisXL_V4.0 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-Vimax97/sdxl-controlnet-object-remover-test-03 These are controlnet weights trained on SG161222/RealVisXL_V4.0 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]
[TODO: describe the data used to train the model]
Source context: 2 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Vimax97/sdxl-controlnet-object-remover-test-03