Comments (2)
Hi Syndulla, inferring a video of 250 frames requires approximately 20GB of GPU memory. If you encounter an issue with VRAM, consider reducing the length of the guidance motion sequence.
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Thank you - I will give that a go!
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Related Issues (20)
- Blender Issue HOT 5
- only integer tensors of a single element can be converted to an index
- Questions about smpl_rendering.blend HOT 3
- KeyError: 'scaled_focal_length is not a file in the archive' in 4.Transfer SMPL step HOT 3
- The inference code HOT 1
- memory usage
- FileNotFoundError: [Errno 2] No such file or directory:
- semantic map from SMPL
- Train & Test Data Split
- basicModel_neutral_lbs_10_207_0_v1.0.0.pkl HOT 5
- Improving results with anime characters
- Hardware and data requirements for model training. HOT 3
- How to avoid distortion of facial and hand features in generated videos HOT 1
- Free guidance: IndexError: The shape of the mask [0] at index 0 does not match the shape of the indexed tensor [1, 9216, 320] at index 0 HOT 2
- Organization of training data per the README causes errors HOT 6
- cuda out of memory HOT 1
- when i test my video, i have error HOT 3
- A problem about scaled_focal_length during motion datas producing HOT 1
- Transfer SMPL HOT 1
- [MISSING FILE] SMPL_NEUTRAL.pkl
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