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Multiview ControlNet Yawangle

These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.

Sourcehuggingface.co/eduardoprea44/multiview-controlnet-yawangle/tree/518ce1bf06cc26fd64ececbabea49c906bfacb2d
KindControlNetBase modelstable-diffusion-v1-5/stable-diffusion-v1-5VersionBgrade

Model source

Kind
ControlNet
File size
1.35 GB
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5
Version
vdiffusion_pytorch_model
Updated
Oct 6, 2026
Downloads
11
Source
Hugging Face

Source description

controlnet-eduardoprea44/multiview-controlnet-yawangle

These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.

prompt: long sleeve upper rotated by 0 degrees images_0) prompt: dress rotated by 60 degrees images_1) prompt: short sleeve upper rotated by 180 degrees images_2) prompt: long sleeve dress rotated by 270 degrees images_3)

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 FacePrimaryVersion 518ce1bf06cc26fd64ececbabea49c906bfacb2d
huggingface.co/eduardoprea44/multiview-controlnet-yawangle/tree/518ce1bf06cc26fd64ececbabea49c906bfacb2d

Verified Oct 6

Model artifacts

1 artifact

checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1.35 GB · SHA-256 7fda39a79563…4f58 · Hugging Face

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Source excerpts

3 excerpts
ReadmeJul 30huggingface.co/eduardoprea44/multiview-controlnet-yawangle

--- base_model: stable-diffusion-v1-5/stable-diffusion-v1-5 library_name: diffusers license: creativeml-openrail-m inference: true tags: - stable-diffusion - stable-diffusion-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-eduardoprea44/multiview-controlnet-yawangle These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below. prompt: long sleeve upper rotated by 0 degrees ![images_0)](./images_0.png) prompt: dress rotated by 60 degrees ![images_1)](./images_1.png) prompt: short sleeve upper rotated by 180 degrees ![images_2)](./images_2.png) prompt: long sleeve dress rotated by 270 degrees ![images_3)](./images_3.png) ## 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]

NoteOct 6huggingface.co/eduardoprea44/multiview-controlnet-yawangle

Source context: 11 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo eduardoprea44/multiview-controlnet-yawangle

NoteJul 30huggingface.co/eduardoprea44/multiview-controlnet-yawangle

Source context: 8 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo eduardoprea44/multiview-controlnet-yawangle