Comments (1)
foivospar
commented on June 1, 2024
Given that we have fine-tuned both the unet and encoder, the pre-trained ControlNets designed for SD v1.5 are unlikely to work as plug-and-play and probably need fine-tuning (you could try them though, for instance lllyasviel/sd-controlnet-canny seems to work sometimes, but generally the quality is not very good). For pose, we have trained our own ControlNet on the FFHQ dataset conditioned on 3D pose images extracted by EMOCA.
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Related Issues (18)
- Using without models from insightface? HOT 7
- Error when loading insight face model HOT 2
- how to train HOT 2
- any demo to use control net? HOT 2
- the output is unexpected HOT 1
- how use with normal prompt HOT 1
- Is it possible to train loras on this, to improve faces? HOT 1
- how to fix this HOT 10
- How to use it in COMFYUI or WEBUI?
- Experiments in the paper HOT 2
- how to keep the background in generated image?
- Abalation study with training with the unet frozen HOT 2
- How was the quality of the generations maintained HOT 1
- Great work! Can provide pytorch weights of arcface not only onnx?
- [Solved just sharing] Fixing the libcudnn_cnn_infer.so.8 Error HOT 1
- I input the image with FFHQ1024 resolution into antelopev2 and it doesn't detect the face HOT 1
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from arc2face.