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feat(mflux_image_edit): Qwen-Image-Edit LoRA support

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mflux-generate-qwen-edit already exposes --lora-paths/--lora-scales; wire them
to params.loras (['multiple-angles=1.0', ...]). Names resolve by filename stem
or fuzzy match across QWEN_LORA_DIRS (default ~/Documents/localmodels/QwenLora)
so John can drop new .safetensors in and use them by short name. Misses log
loudly instead of failing the job.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
type-two 2026-07-25 00:54:25 +10:00
parent 03deb589c1
commit 431aeb08ea
1 changed files with 35 additions and 0 deletions
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35
server/operators/mflux_image_edit/run.py
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@ -1,9 +1,30 @@
import argparse import argparse
import json import json
import os
import subprocess import subprocess
import sys import sys
from pathlib import Path from pathlib import Path
# Qwen-Image-Edit LoRA search path (name → file). Drop .safetensors anywhere under these and they
# become usable as {"loras": ["multiple-angles=1.0", ...]}. Same UX as sd_local's LoRA list.
QWEN_LORA_DIRS = [Path(os.path.expanduser(d)) for d in os.environ.get(
"QWEN_LORA_DIRS", "~/Documents/localmodels/QwenLora").split(":")]
def find_lora(stem: str):
"""Match by exact filename stem, else the first file whose stem contains it (case-insensitive)."""
stem = stem.strip()
cands = [f for d in QWEN_LORA_DIRS if d.is_dir() for f in d.rglob("*.safetensors")]
for f in cands:
if f.stem == stem:
return f
low = stem.lower()
for f in cands:
if low in f.stem.lower() or low in f.parent.name.lower():
return f
return None
ap = argparse.ArgumentParser() ap = argparse.ArgumentParser()
ap.add_argument("--input", action="append", default=[]) ap.add_argument("--input", action="append", default=[])
ap.add_argument("--outdir", required=True) ap.add_argument("--outdir", required=True)
@ -34,6 +55,20 @@ cmd = [str(cli), "--image-paths", *[str(Path(x).resolve()) for x in a.input],
"--guidance", str(p.get("guidance", 4.0)), "--guidance", str(p.get("guidance", 4.0)),
"--output", str(out.resolve())] "--output", str(out.resolve())]
# optional LoRAs: ["multiple-angles=1.0", "gymnastics-pose=0.8"] → --lora-paths/--lora-scales
paths, scales = [], []
for spec in (p.get("loras") or []):
name, _, w = str(spec).partition("=")
f = find_lora(name)
if not f:
print(f"LORA MISS '{name}' — searched {[str(d) for d in QWEN_LORA_DIRS]}", flush=True)
continue
paths.append(str(f))
scales.append(str(float(w or 1.0)))
if paths:
cmd += ["--lora-paths", *paths, "--lora-scales", *scales]
print(f"loras: {list(zip(paths, scales))}", flush=True)
print("+", " ".join(cmd), flush=True) print("+", " ".join(cmd), flush=True)
print("(first run downloads Qwen-Image-Edit weights)", flush=True) print("(first run downloads Qwen-Image-Edit weights)", flush=True)
res = subprocess.run(cmd, cwd=str(outdir), stdout=sys.stdout, stderr=subprocess.STDOUT) res = subprocess.run(cmd, cwd=str(outdir), stdout=sys.stdout, stderr=subprocess.STDOUT)