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[docs] Add a note on torchao/quanto benchmarks for CogVideoX and memory-efficient inference (#9296)

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* add a note on torchao/quanto benchmarks and memory-efficient inference

* apply suggestions from review

* update

* Update docs/source/en/api/pipelines/cogvideox.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/api/pipelines/cogvideox.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* add note on enable sequential cpu offload

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
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Aryan
2024-08-30 13:53:25 +05:30
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@@ -77,10 +77,21 @@ CogVideoX-2b requires about 19 GB of GPU memory to decode 49 frames (6 seconds o
- `pipe.enable_model_cpu_offload()`:
- Without enabling cpu offloading, memory usage is `33 GB`
- With enabling cpu offloading, memory usage is `19 GB`
- `pipe.enable_sequential_cpu_offload()`:
- Similar to `enable_model_cpu_offload` but can significantly reduce memory usage at the cost of slow inference
- When enabled, memory usage is under `4 GB`
- `pipe.vae.enable_tiling()`:
- With enabling cpu offloading and tiling, memory usage is `11 GB`
- `pipe.vae.enable_slicing()`
### Quantized inference
[torchao](https://github.com/pytorch/ao) and [optimum-quanto](https://github.com/huggingface/optimum-quanto/) can be used to quantize the text encoder, transformer and VAE modules to lower the memory requirements. This makes it possible to run the model on a free-tier T4 Colab or lower VRAM GPUs!
It is also worth noting that torchao quantization is fully compatible with [torch.compile](/optimization/torch2.0#torchcompile), which allows for much faster inference speed. Additionally, models can be serialized and stored in a quantized datatype to save disk space with torchao. Find examples and benchmarks in the gists below.
- [torchao](https://gist.github.com/a-r-r-o-w/4d9732d17412888c885480c6521a9897)
- [quanto](https://gist.github.com/a-r-r-o-w/31be62828b00a9292821b85c1017effa)
## CogVideoXPipeline
[[autodoc]] CogVideoXPipeline