SolitaryThinker
18dd295e8d
Five self-contained, runnable scripts (CPU/numpy) for the Wan2.1-1.3B card on the v2 runtime, each bootstrapping the repo onto sys.path so they run from anywhere: - 01_basic_t2v.py minimal path: build engine → T2V request → run → video - 02_params_and_reproducibility.py DiffusionParams knobs + seeded bit-identical reproducibility - 03_streaming.py per-denoise-step preview chunks (OutputSpec stream) - 04_concurrent_interleaved.py step-interleaved batching + interleave parity gate + cache reuse - 05_async_serving.py AsyncEngine: concurrent generate, event stream, step-boundary cancel + README.md indexing them. All five run green; use only the public API.
70 lines
2.7 KiB
Python
70 lines
2.7 KiB
Python
#!/usr/bin/env python3
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"""05 — Async / concurrent serving of Wan2.1-1.3B (AsyncEngine).
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`AsyncEngine` wraps the same step-scheduled engine with a request queue, lifecycle state, live event
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streaming, and step-boundary cancellation. This shows the three async entry points:
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* `generate_many(reqs)` — await several requests concurrently (steps interleave under the hood);
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* `submit(req)` — an async iterator of `OmniEvent`s (`request.start` → `media.chunk`* →
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`artifact.ready` → `request.complete`);
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* `cancel(request_id)` — trips the CancelScope; the request stops at the next step boundary and ends
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with `request.cancelled`.
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Run: python3 v2_examples/inference/05_async_serving.py
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"""
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from __future__ import annotations
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import asyncio
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import pathlib
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import sys
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from collections import Counter
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sys.path.insert(0, str(pathlib.Path(__file__).resolve().parents[2]))
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from v2.models import build_default_engine
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from v2.request import DiffusionParams, OutputSpec, TaskType, make_request
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from v2.runtime import AsyncEngine
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MODEL = "wan2.1-1.3b"
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def _t2v(prompt, seed, *, steps=8, stream=False):
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outputs = OutputSpec(stream={"video": True}) if stream else OutputSpec()
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return make_request(TaskType.T2V, MODEL, prompt,
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diffusion=DiffusionParams(num_steps=steps, seed=seed), outputs=outputs)
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async def main() -> None:
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ae = AsyncEngine(build_default_engine())
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# (1) concurrent generation
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reqs = [_t2v(f"scene {i}", seed=i) for i in range(3)]
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outs = await ae.generate_many(reqs)
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print("concurrent generate_many:")
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for r in reqs:
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print(f" {r.request_id[:8]} video={tuple(outs[r.request_id].artifacts['video'].frames.shape)}")
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# (2) live event stream for one request
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print("\nlive event stream (submit):")
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events: Counter[str] = Counter()
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async for ev in ae.submit(_t2v("a streamed clip", seed=99, steps=6, stream=True)):
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events[ev.type] += 1
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print(f" events: {dict(events)}")
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print(" (request.start → media.chunk per step → artifact.ready → request.complete)")
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# (3) step-boundary cancellation: cancel after the first streamed chunk
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print("\ncancellation (mid-rollout):")
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req = _t2v("a clip we abort", seed=7, steps=20, stream=True)
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seq = []
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async for ev in ae.submit(req):
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seq.append(ev.type)
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if ev.type == "media.chunk" and "cancel-sent" not in seq:
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ae.cancel(req.request_id) # stop at the next step boundary
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seq.append("cancel-sent")
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print(f" final state : {ae.state(req.request_id)}")
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print(f" ended with : {seq[-1]} (cancelled before all {20} steps ran)")
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if __name__ == "__main__":
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asyncio.run(main())
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