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* start * add more logic * Update src/diffusers/models/unet_2d_condition_flax.py * match weights * up * make model work * making class more general, fixing missed file rename * small fix * make new conversion work * up * finalize conversion * up * first batch of variable renamings * remove c and c_prev var names * add mid and out block structure * add pipeline * up * finish conversion * finish * upload * more fixes * Apply suggestions from code review * add attr * up * uP * up * finish tests * finish * uP * finish * fix test * up * naming consistency in tests * Apply suggestions from code review Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: Nathan Lambert <nathan@huggingface.co> Co-authored-by: Anton Lozhkov <anton@huggingface.co> * remove hardcoded 16 * Remove bogus * fix some stuff * finish * improve logging * docs * upload Co-authored-by: Nathan Lambert <nol@berkeley.edu> Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: Nathan Lambert <nathan@huggingface.co> Co-authored-by: Anton Lozhkov <anton@huggingface.co>
34 lines
1.4 KiB
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34 lines
1.4 KiB
Plaintext
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# Dance Diffusion
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## Overview
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[Dance Diffusion](https://github.com/Harmonai-org/sample-generator) by Zach Evans.
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Dance Diffusion is the first in a suite of generative audio tools for producers and musicians to be released by Harmonai.
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For more info or to get involved in the development of these tools, please visit https://harmonai.org and fill out the form on the front page.
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The original codebase of this implementation can be found [here](https://github.com/Harmonai-org/sample-generator).
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## Available Pipelines:
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| Pipeline | Tasks | Colab
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| [pipeline_dance_diffusion.py](https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/dance_diffusion/pipeline_dance_diffusion.py) | *Unconditional Audio Generation* | - |
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## DanceDiffusionPipeline
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[[autodoc]] DanceDiffusionPipeline
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- __call__
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