Du hast einen ComfyUI-Workflow? Erstelle direkt im Browser eine verständliche Workflow-Dokumentation.Workflow verständlich machen.Jetzt ausprobieren ↗
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
Modellquelle
Quellenbeschreibung
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base 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]
Quellen
1 QuelleVerifiziert 30. Juli
Modellartefakte
1 Artefaktdiffusion_pytorch_model.safetensors
safetensors · 1,36 GB · SHA-256 3df7652e20c4…dcbc · Hugging Face
HerunterladenQuellenauszüge
2 Auszüge--- base_model: stabilityai/stable-diffusion-2-1-base library_name: diffusers license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-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-VivianYueh/Controlnet_dot_20K_15000 These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base 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 VivianYueh/Controlnet_dot_20K_15000