ComfyUI / serverless /client /qwen_edit_async.py
aleph65's picture
qwen-edit-turbo v7: bake Qwen4Play_v2 lora (off by default, lora_qwen4play toggles), drop Amateur-Photo lora; start.sh passes no VRAM flag (full-coverage loras OOM under --highvram; perf unchanged). Image: comfyui-serverless:qwen-edit-turbo-v7
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#!/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()