feat(接口2): 新增生发后图片(ComfyUI/Flux inpaint)

在发际线预览基础上,每种发际线再出一张「植发3个月」生发图:

- hairline/mask.py: headmark 5步法遮罩(额头上部区域∩SegFormer头部=ROI,
  取发际线曲线以上闭合区域);用 hairline_texture_black 渲染黑线替代手绘检测;
  compose_comfy_rgba 合成 RGBA(alpha=255-mask, 透明=重绘区, 对齐 ComfyUI mask=1-alpha)
- hairline/comfyui.py: ComfyUI 客户端(默认8182),/upload/image+/prompt(改节点26+随机seed)
  +轮询/history+/view 取回生发图
- hairline/render.py: 抽出 build_overlay_layer 供遮罩取曲线像素
- hairline/service.py: extract_context 一次出 landmarks/parse_map/502点;
  generate_grow_results 每种=预览+生发图(同步串行N张,单张ComfyUI失败则grown置空不拖垮整请求)
- app.py: /hair/grow 返回 results[].grown_image_base64;重活放线程池避免卡事件循环
- add_hair.json 工作流 + hairline_texture_black/ 黑贴图入库
- 测试: test_mask.py(遮罩几何) + test_api mock ComfyUI 验 grown 字段,35 全绿

实测(5090): female 5张生发图同步约18s;预览/生发图人物五官服饰背景保持、黑线已清除。

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
xsl
2026-06-14 23:42:30 +08:00
co-authored by Claude Opus 4.8
parent 4c69bb4623
commit 94ad95850e
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"""ComfyUI 客户端:用 add_hair.json 工作流跑生发图(Flux-2 inpaint)。
worker 不跑 Flux,只把「划线图 + 遮罩」的 RGBA 上传到本机 ComfyUI(默认 8182)
替换工作流节点 26 的输入图、随机 seed,提交 /prompt,轮询 /history,取回 /view 输出。
"""
from __future__ import annotations
import copy
import json
import os
import random
import time
import uuid
import httpx
COMFYUI_URL = os.getenv("COMFYUI_URL", "http://127.0.0.1:8182").rstrip("/")
WORKFLOW_PATH = os.getenv(
"ADD_HAIR_WORKFLOW",
os.path.join(os.path.dirname(os.path.dirname(__file__)), "add_hair.json"),
)
COMFY_TIMEOUT = float(os.getenv("COMFYUI_TIMEOUT", "600")) # 单张出图最长等待(秒)
_INPUT_NODE = "26" # LoadImage:外部输入图(含 alpha 遮罩)
_SEED_NODE = "6" # RandomNoise
_OUTPUT_NODE = "17" # SaveImage
_workflow = None
def _load_workflow() -> dict:
global _workflow
if _workflow is None:
with open(WORKFLOW_PATH, encoding="utf-8") as f:
_workflow = json.load(f)
return _workflow
def run(rgba_png_bytes: bytes, timeout: float = COMFY_TIMEOUT) -> bytes:
"""提交一次生发任务,返回输出 PNG 字节。失败抛异常。"""
client_id = uuid.uuid4().hex
with httpx.Client(base_url=COMFYUI_URL, timeout=30.0) as cli:
# 1. 上传输入图(含 alpha 遮罩)到 ComfyUI input 目录
fname = f"hair_{client_id}.png"
r = cli.post("/upload/image", files={"image": (fname, rgba_png_bytes, "image/png")},
data={"overwrite": "true", "type": "input"})
r.raise_for_status()
up = r.json()
name = (up.get("subfolder") + "/" if up.get("subfolder") else "") + up["name"]
# 2. 改工作流:节点26 输入图 + 随机 seed
wf = copy.deepcopy(_load_workflow())
wf[_INPUT_NODE]["inputs"]["image"] = name
wf[_SEED_NODE]["inputs"]["noise_seed"] = random.randint(0, 2**63 - 1)
# 3. 提交
r = cli.post("/prompt", json={"prompt": wf, "client_id": client_id})
r.raise_for_status()
prompt_id = r.json()["prompt_id"]
# 4. 轮询 /history
deadline = time.time() + timeout
outputs = None
while time.time() < deadline:
hr = cli.get(f"/history/{prompt_id}")
hr.raise_for_status()
hist = hr.json()
if prompt_id in hist:
entry = hist[prompt_id]
status = entry.get("status", {})
if status.get("status_str") == "error":
raise RuntimeError(f"ComfyUI 执行报错: {status}")
outputs = entry.get("outputs")
if outputs and _OUTPUT_NODE in outputs:
break
time.sleep(1.0)
if not outputs or _OUTPUT_NODE not in outputs:
raise TimeoutError(f"ComfyUI 出图超时({timeout}s) prompt_id={prompt_id}")
# 5. 取回输出图
imgs = outputs[_OUTPUT_NODE].get("images") or []
if not imgs:
raise RuntimeError("ComfyUI 输出无图像")
info = imgs[0]
vr = cli.get("/view", params={"filename": info["filename"],
"subfolder": info.get("subfolder", ""),
"type": info.get("type", "output")})
vr.raise_for_status()
return vr.content
def ping() -> bool:
"""探测 ComfyUI 是否在线(/system_stats)。"""
try:
with httpx.Client(base_url=COMFYUI_URL, timeout=3.0) as cli:
return cli.get("/system_stats").status_code == 200
except Exception: # noqa: BLE001
return False
if __name__ == "__main__":
import sys
inp = sys.argv[1] if len(sys.argv) > 1 else "tests/output/comfy_input.png"
print("ComfyUI:", COMFYUI_URL, "online:", ping())
with open(inp, "rb") as f:
png = run(f.read())
out = "tests/output/grown.png"
with open(out, "wb") as f:
f.write(png)
print(f"生发图已存 {out}{len(png)} bytes")