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Update readme with latest performance numbers

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filipstrand 2024-08-19 19:19:12 +02:00
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README.md
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@ -87,12 +87,28 @@ ImageUtil.save_image(image, "image.png")
If the model is not already downloaded on your machine, it will start the download process and fetch the model weights (~34GB in size for the Schnell model).
Generating a single image (with 2 inference steps, Schnell model) takes between 2 and 3 minutes. This implementation has been tested on two Macbook Pro machines:
- 2021 M1 Pro (32 GB)
- 2023 M2 Max (32 GB)
Update:
On faster machines, [@karpathy](https://gist.github.com/awni/a67d16d50f0f492d94a10418e0592bde?permalink_comment_id=5153531#gistcomment-5153531) and [@awni](https://x.com/awnihannun/status/1823515121827897385) have reported times ~20s and below!
### Image generation speed (updated)
These numbers are based on the Schnell model, with the configuration provided in the code snippet below.
To time your machine, run the following:
```
time python main.py \
--prompt "Luxury food photograph" \
--steps 2 \
--seed 2 \
--height 1024 \
--width 1024
```
| Device | User | Reported Time |
|--------------------|----------------------------------------------------------------------------------------------------------------------------|---------------|
| M3 Max | [@karpathy](https://gist.github.com/awni/a67d16d50f0f492d94a10418e0592bde?permalink_comment_id=5153531#gistcomment-5153531) | ~20s |
| M2 Ultra | [@awni](https://x.com/awnihannun/status/1823515121827897385) | <15s |
| 2023 M2 Max (96GB) | [@explorigin](https://github.com/filipstrand/mflux/issues/6) | ~25s |
| 2021 M1 Pro (16GB) | [@qw-in](https://github.com/filipstrand/mflux/issues/7) | ~175s |
| 2021 M1 Pro (32GB) | @filipstrand | ~160s |
| 2023 M2 Max (32GB) | @filipstrand | ~70s |
### Equivalent to Diffusers implementation