dynamo/examples/backends/sglang/launch/image_diffusion.sh

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#!/bin/bash
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Image diffusion worker (text-to-image). Default model: FLUX.1-dev (~38 GB VRAM).
# GPUs: 1
set -e
# Setup cleanup trap
cleanup() {
echo "Cleaning up background processes..."
kill $FRONTEND_PID 2>/dev/null || true
wait $FRONTEND_PID 2>/dev/null || true
echo "Cleanup complete."
}
trap cleanup EXIT INT TERM
# Defaults
MODEL_PATH="black-forest-labs/FLUX.1-dev"
FS_URL="file:///tmp/dynamo_media"
HTTP_URL=""
HTTP_PORT="${HTTP_PORT:-8000}"
# Parse command line arguments
EXTRA_ARGS=()
while [[ $# -gt 0 ]]; do
case $1 in
--model-path)
MODEL_PATH="$2"
shift 2
;;
--fs-url)
FS_URL="$2"
shift 2
;;
--http-url)
HTTP_URL="$2"
shift 2
;;
--http-port)
HTTP_PORT="$2"
shift 2
;;
-h|--help)
echo "Usage: $0 [OPTIONS]"
echo ""
echo "Launch a Dynamo image diffusion worker."
echo ""
echo "Options:"
echo " --model-path <path> Model path (default: black-forest-labs/FLUX.1-dev)"
echo " --fs-url <url> Filesystem URL for image storage (default: file:///tmp/dynamo_media)"
echo " --http-url <url> Base URL for serving images over HTTP (optional)"
echo " --http-port <port> Frontend HTTP port (default: 8000)"
echo " -h, --help Show this help message"
echo ""
echo "Additional flags are forwarded to dynamo.sglang."
echo ""
echo "Examples:"
echo " # Local file storage"
echo " $0 --model-path black-forest-labs/FLUX.1-dev --fs-url file:///tmp/images"
echo ""
echo " # S3 storage (set FSSPEC_S3_KEY, FSSPEC_S3_SECRET, optionally FSSPEC_S3_ENDPOINT_URL)"
echo " $0 --fs-url s3://my-bucket/images"
exit 0
;;
*)
EXTRA_ARGS+=("$1")
shift
;;
esac
done
echo "=========================================="
echo "Launching Image Diffusion Worker"
echo "=========================================="
echo "Model: $MODEL_PATH"
echo "Frontend: http://localhost:$HTTP_PORT"
echo "FS URL: $FS_URL"
[ -n "$HTTP_URL" ] && echo "HTTP URL: $HTTP_URL"
echo "=========================================="
echo ""
echo "Example test command:"
echo ""
echo " curl http://localhost:${HTTP_PORT}/v1/images/generations \\"
echo " -H 'Content-Type: application/json' \\"
echo " -d '{"
echo " \"prompt\": \"A curious raccoon exploring a garden\","
echo " \"model\": \"${MODEL_PATH}\","
echo " \"size\": \"1024x1024\","
echo " \"response_format\": \"url\","
echo " \"nvext\": {"
echo " \"num_inference_steps\": 15"
echo " }"
echo " }'"
echo ""
echo "=========================================="
# Build optional HTTP URL arg
HTTP_URL_ARGS=()
if [ -n "$HTTP_URL" ]; then
HTTP_URL_ARGS=(--media-output-http-url "$HTTP_URL")
fi
# Launch frontend
echo "Starting Dynamo Frontend on port $HTTP_PORT..."
python3 -m dynamo.frontend \
--http-port "$HTTP_PORT" &
FRONTEND_PID=$!
sleep 2
# Launch image diffusion worker
echo "Starting Image Diffusion Worker..."
python3 -m dynamo.sglang \
--model-path "$MODEL_PATH" \
--served-model-name "$MODEL_PATH" \
--image-diffusion-worker \
--media-output-fs-url "$FS_URL" \
"${HTTP_URL_ARGS[@]}" \
--trust-remote-code \
--skip-tokenizer-init \
--enable-metrics \
"${EXTRA_ARGS[@]}"