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These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
Model source
Source description
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]
Sources
1 sourceVerified Jul 30
Model artifacts
1 artifactdiffusion_pytorch_model.safetensors
safetensors · 1.36 GB · SHA-256 3df7652e20c4…dcbc · Hugging Face
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2 excerpts--- 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