docker-diffusers-api-build-download

What is it?

This is a small extension to docker-diffusers-api that pre-downloads a specific model during the build phase.

It works well with banana.dev.

Quick Start

Simply set the appropriate build-vars either in e.g. Banana's dashboard, or inside the Dockerfile, and deploy.

See the Dockerfile for all options.

NB: current known issue where build args don't override values I set previousy in the build, working on this, but please set any vars using ENV line only for now.

Example

# AnimeAnything v3, from HuggingFace "diffusers" branch/revision (an fp16 model)
MODEL_ID="Linaqruf/anything-v3.0"
MODEL_PRECISION="fp16"
MODEL_REVISION="diffusers"
# Download pre-built optimized image from our own S3-storage in default location
MODEL_URL="s3://"

Banana Info

Usage

const out = await banana.run(apiKey, modelKey, { "modelInputs": modelInputs, "callInputs": callInputs });

NB: if you're coming from another banana starter repo, note that we explicitly name modelInputs above, and send a bigger object (with modelInputs and callInputs keys) for the banana-sdk's "modelInputs" argument.

If provided, init_image and mask_image should be base64 encoded.

Optimization

We no longer support Banana's optimization system. We do however provide an alternative that offers even better performance, but requires either a pre-built image or S3-compatible storage (see this post for more info).

Build timing:

Primary build - takes about 8m.
Optimization step - takes much longer and of course will fail in the end - we don't use it - maybe we'll get a way to opt out of optimization in the future.

Cold boot timing:

Banana's optimization: 2.3-6.4s init time (usually around 3.0s)
Our method: 2.0-2.5s init time (usually around 2.1s)

Testing

# Run against deployed banana image (Nvidia A100)
$ export BANANA_API_KEY=XXX
$ BANANA_MODEL_KEY=XXX python3 test.py --banana txt2img
Running test: txt2img
Request took 19.4s (init: 2.5s, inference: 3.5s)
Saved /home/dragon/www/banana/banana-sd-base/tests/output/txt2img.png

# Note that 2nd runs are much faster (no init AND faster inference)
Request took 3.0s (inference: 2.1s)

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