Comments (4)
At each timestep, reference net is executed only once instead of n_frame times.
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What I mean is that referenceunt should do reference once in the denoising process, and these features will be reused in all timesteps of denoising unet. But not “n_frame times”?
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You can email me at [email protected] and we'll talk about this in more detail!
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I have sent you an email, please check it~
from open-animateanyone.
Related Issues (20)
- Error processing UBC videos
- 📜第一阶段训练指导
- AnimateAnyone用10个tiktok style videos做test,请问这10个videos在哪里下载? HOT 1
- Problem with training with H100 HOT 1
- animation_stage_2_hack.yaml这个文件哪里有下载 HOT 1
- Noisy background with training 1024x1024 HOT 3
- Invalid data found when processing input HOT 2
- 不会用git HOT 2
- Question about parameter
- Stage 1 inference steps HOT 1
- Query on Motion Module Version HOT 2
- training image size HOT 1
- fix triton & animation_stage_2_hack.yaml & sd15_mmv1.ckpt HOT 1
- request link download pretrained model HOT 1
- Why encoder_hidden_state is used in the motion module?
- how to extract pose from video? HOT 2
- hack_poseguider HOT 1
- how long it takes to train the first stage and second stage? HOT 1
- How is referencenet(latents_ref_img, ref_timesteps, encoder_hidden_states) in Line 492 in train.py connected to the loss? HOT 1
- inference code for original animate anyone architecture
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