#!/usr/bin/env python3 """Call the qwen-edit-turbo RunPod serverless endpoint ASYNCHRONOUSLY (/run). Standalone: python 3.8+, stdlib only. Submits the job, then either polls until done (default) or exits immediately with the job id (--no-wait) so you can collect later with --job-id. # submit and wait python qwen_edit_async.py --api-key $RUNPOD_API_KEY \ --image person.jpg --ref-image outfit.png \ --prompt "put the outfit from the second image on the person" # fire-and-forget, collect later python qwen_edit_async.py ... --no-wait # prints JOB_ID python qwen_edit_async.py --api-key $RUNPOD_API_KEY --job-id JOB_ID Arguments are identical to qwen_edit_sync.py, plus: --no-wait submit only; print the job id and exit --job-id ID skip submission; poll/collect an existing job --poll SECONDS poll interval (default 3) --cancel ID cancel a queued/running job and exit """ import argparse import base64 import json import os import pathlib import sys import time import urllib.error import urllib.request DEFAULT_ENDPOINT = "dom5lwr0o5wq6u" TERMINAL = ("COMPLETED", "FAILED", "CANCELLED", "TIMED_OUT") def api(args, method, path, payload=None, timeout=90): req = urllib.request.Request( f"https://api.runpod.ai/v2/{args.endpoint_id}/{path}", method=method, data=json.dumps(payload).encode() if payload is not None else None, headers={"Content-Type": "application/json", "Authorization": f"Bearer {args.api_key}"}) try: with urllib.request.urlopen(req, timeout=timeout) as r: return json.load(r) except urllib.error.HTTPError as e: sys.exit(f"ERROR: HTTP {e.code} on /{path}: {e.read().decode(errors='replace')[:2000]}") def build_input(args): images, params = [], {"prompt": args.prompt, "mode": args.mode} images.append({"name": os.path.basename(args.image), "image": base64.b64encode(open(args.image, "rb").read()).decode()}) if args.ref_image: images.append({"name": os.path.basename(args.ref_image), "image": base64.b64encode(open(args.ref_image, "rb").read()).decode()}) if args.seed is not None: params["seed"] = args.seed for name in ("input_max_dim", "ref_max_dim", "output_max_dim"): v = getattr(args, name) if v is not None: params[name] = v if args.lora_skin_fix: params["lora_skin_fix"] = True params["lora_skin_fix_strength"] = args.lora_skin_fix_strength if args.lora_qwen4play: params["lora_qwen4play"] = True params["lora_qwen4play_strength"] = args.lora_qwen4play_strength payload = {"images": images, "params": params} if args.workflow: payload["workflow"] = args.workflow if args.workflow_json: payload["workflow_json"] = json.load(open(args.workflow_json)) overrides = {} for s in args.set or []: k, v = s.split("=", 1) try: overrides[k] = json.loads(v) except json.JSONDecodeError: overrides[k] = v if overrides: payload["set"] = overrides return payload def save_outputs(output, out_dir): out_dir = pathlib.Path(out_dir) out_dir.mkdir(parents=True, exist_ok=True) saved = [] for i, img in enumerate(output.get("images", [])): p = out_dir / f"{int(time.time())}-{i}-{img['filename']}" p.write_bytes(base64.b64decode(img["data"])) saved.append(str(p)) return saved def main(): ap = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) ap.add_argument("--api-key", default=os.environ.get("RUNPOD_API_KEY")) ap.add_argument("--endpoint-id", default=DEFAULT_ENDPOINT) ap.add_argument("--image") ap.add_argument("--ref-image") ap.add_argument("--prompt") ap.add_argument("--mode", default="turbo-8", choices=["turbo-4", "turbo-8", "quality"]) ap.add_argument("--seed", type=int) ap.add_argument("--input-max-dim", type=int) ap.add_argument("--ref-max-dim", type=int) ap.add_argument("--output-max-dim", type=int) ap.add_argument("--lora-skin-fix", action="store_true") ap.add_argument("--lora-skin-fix-strength", type=float, default=1.0) ap.add_argument("--lora-qwen4play", action="store_true") ap.add_argument("--lora-qwen4play-strength", type=float, default=1.0) ap.add_argument("--workflow") ap.add_argument("--set", action="append", metavar="NODE.INPUT=VALUE") ap.add_argument("--workflow-json") ap.add_argument("--out", default=".") ap.add_argument("--timeout", type=float, default=1800) ap.add_argument("--poll", type=float, default=3.0) ap.add_argument("--no-wait", action="store_true") ap.add_argument("--job-id") ap.add_argument("--cancel", metavar="JOB_ID") args = ap.parse_args() if not args.api_key: sys.exit("ERROR: pass --api-key or set RUNPOD_API_KEY") if args.cancel: print(json.dumps(api(args, "POST", f"cancel/{args.cancel}"), indent=2)) return if args.job_id: job_id = args.job_id else: if not args.image or not args.prompt: sys.exit("ERROR: --image and --prompt are required to submit a job") job = api(args, "POST", "run", {"input": build_input(args)}) job_id = job["id"] print(f"# submitted job {job_id}", file=sys.stderr) if args.no_wait: print(job_id) return t0 = time.monotonic() while True: result = api(args, "GET", f"status/{job_id}") status = result.get("status") if status in TERMINAL: break if time.monotonic() - t0 > args.timeout: sys.exit(f"ERROR: timed out after {args.timeout}s (last status {status}); " f"job {job_id} is still yours to collect with --job-id") print(f"# {status} ... {time.monotonic()-t0:.0f}s", file=sys.stderr) time.sleep(args.poll) if status != "COMPLETED": sys.exit(f"ERROR: {json.dumps(result, indent=2)[:3000]}") output = result["output"] if "error" in output: sys.exit(f"ERROR from handler: {output['error']}") for p in save_outputs(output, args.out): print(p) print(f"# seed={output.get('seed')} delay={result.get('delayTime')}ms " f"exec={result.get('executionTime')}ms", file=sys.stderr) if __name__ == "__main__": main()