Fork of dgrauet/Hunyuan3D-2.1-mlx + our generate_e2e.py CLI, env-tunable remesh (HY3D_REMESH_FACES), and HARDWARE.md. Upstream training data (mini_trainset) and demo images stripped — inference needs none of it. Full upstream history: github.com/dgrauet/Hunyuan3D-2.1-mlx
161 lines
5.6 KiB
Python
161 lines
5.6 KiB
Python
#!/usr/bin/env python3
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"""End-to-end image -> textured GLB, fully local on Apple Silicon (MLX).
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Chains Hunyuan3D 2.1 Stage 1 (shape) + Stage 2 (PBR texture) into one command.
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Distilled from tests/test_stage1_to_stage2.py, plus CLI flags, stage timings,
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and MLX peak-memory reporting for MODELBEAST job logs.
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python generate_e2e.py IMAGE --output STEM [flags]
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Produces (STEM given without extension):
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STEM_shape.glb Stage 1 mesh (untextured) [omitted with --no-texture]
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STEM.glb final PBR-textured mesh [or the shape mesh if --no-texture]
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"""
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import argparse
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import gc
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import os
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import sys
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import time
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from pathlib import Path
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REPO = Path(__file__).resolve().parent
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def _mlx_mem(fn_names):
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import mlx.core as mx
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candidates = []
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for name in fn_names:
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candidates.append(getattr(mx, name, None))
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metal = getattr(mx, "metal", None)
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if metal is not None:
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candidates.append(getattr(metal, name, None))
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for fn in candidates:
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if fn is None:
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continue
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try:
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return fn()
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except Exception:
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continue
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return None
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def peak_gb():
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v = _mlx_mem(["get_peak_memory"])
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return v / 1e9 if v is not None else float("nan")
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def reset_peak():
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_mlx_mem(["reset_peak_memory"])
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def main():
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ap = argparse.ArgumentParser(description="Hunyuan3D 2.1 MLX image->textured GLB")
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ap.add_argument("image", help="input reference image (ideally a bg-removed cutout)")
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ap.add_argument("--output", required=True, help="output path stem (extension ignored)")
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# Stage 1 (shape)
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ap.add_argument("--steps", type=int, default=50, help="Stage 1 denoising steps")
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ap.add_argument("--guidance", type=float, default=7.5, help="Stage 1 CFG scale")
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ap.add_argument("--octree-resolution", type=int, default=256, help="Stage 1 marching-cubes grid")
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# Stage 2 (texture)
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ap.add_argument("--max-num-view", type=int, default=6, help="Stage 2 baked views")
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ap.add_argument("--view-resolution", type=int, default=512, help="Stage 2 per-view diffusion res")
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ap.add_argument("--texture-size", type=int, default=2048, help="Stage 2 UV atlas res (2048|4096)")
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ap.add_argument("--remesh-faces", type=int, default=40000, help="Stage 2 bake-mesh decimation target")
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# Common
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ap.add_argument("--seed", type=int, default=42)
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ap.add_argument("--no-texture", action="store_true", help="Stage 1 only (geometry, much faster)")
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ap.add_argument("--weights", default="dgrauet/hunyuan3d-2.1-mlx", help="HF repo id or local dir")
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a = ap.parse_args()
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# Resolve I/O to absolute BEFORE chdir; the pipeline reads relative config
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# paths (hy3dpaint/cfgs/...), so it must run from the repo root.
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image_path = str(Path(a.image).resolve())
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out_stem = Path(a.output).resolve()
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out_stem.parent.mkdir(parents=True, exist_ok=True)
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if not os.path.exists(image_path):
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print(f"ERROR: image not found: {image_path}", flush=True)
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sys.exit(1)
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os.environ["HY3D_REMESH_FACES"] = str(a.remesh_faces)
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os.environ.setdefault("HF_HUB_DISABLE_XET", "1")
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os.chdir(REPO)
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sys.path.insert(0, str(REPO / "hy3dshape"))
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sys.path.insert(0, str(REPO / "hy3dpaint"))
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# ---- Stage 1: image -> mesh ----
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print(f"[Stage 1] shape generation from {image_path}", flush=True)
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from hy3dshape.pipeline_mlx import ShapePipeline
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reset_peak()
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t0 = time.time()
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shape_pipe = ShapePipeline.from_pretrained(a.weights)
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print(f" pipeline ready in {time.time() - t0:.1f}s", flush=True)
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t0 = time.time()
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mesh = shape_pipe(
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image_path,
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num_inference_steps=a.steps,
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guidance_scale=a.guidance,
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octree_resolution=a.octree_resolution,
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seed=a.seed,
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)
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dt1 = time.time() - t0
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nverts, nfaces = len(mesh.vertices), len(mesh.faces)
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print(f" shape in {dt1:.1f}s ({nverts} verts, {nfaces} faces), "
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f"peak {peak_gb():.1f}GB", flush=True)
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if a.no_texture:
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final = out_stem.with_suffix(".glb")
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mesh.export(str(final))
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print(f"[done] {final} (geometry only, {dt1:.0f}s)", flush=True)
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return
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shape_glb = str(out_stem.parent / (out_stem.name + "_shape.glb"))
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mesh.export(shape_glb)
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print(f" saved shape: {shape_glb}", flush=True)
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# Free the DiT before loading the paint stack (both are memory-heavy)
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del shape_pipe, mesh
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gc.collect()
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reset_peak()
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# ---- Stage 2: mesh + reference -> textured GLB ----
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print("[Stage 2] PBR texture synthesis", flush=True)
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from textureGenPipeline_mlx import (
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Hunyuan3DPaintConfigMLX,
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Hunyuan3DPaintPipelineMLX,
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)
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cfg = Hunyuan3DPaintConfigMLX(max_num_view=a.max_num_view, resolution=a.view_resolution)
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cfg.texture_size = a.texture_size
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cfg.mlx_seed = a.seed
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t0 = time.time()
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paint_pipe = Hunyuan3DPaintPipelineMLX(cfg)
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print(f" pipeline ready in {time.time() - t0:.1f}s", flush=True)
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tex_obj = str(out_stem.with_suffix(".obj"))
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t0 = time.time()
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paint_pipe(
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mesh_path=shape_glb,
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image_path=image_path,
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output_mesh_path=tex_obj,
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use_remesh=True,
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save_glb=True,
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)
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dt2 = time.time() - t0
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final = out_stem.with_suffix(".glb")
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if not final.exists():
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print(f"ERROR: expected textured GLB not produced at {final}", flush=True)
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sys.exit(2)
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size_mb = final.stat().st_size / 1024 / 1024
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print(f" texture in {dt2:.1f}s, peak {peak_gb():.1f}GB", flush=True)
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print(f"[done] {final} ({size_mb:.1f} MB) "
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f"shape={dt1:.0f}s tex={dt2:.0f}s total={dt1 + dt2:.0f}s", flush=True)
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if __name__ == "__main__":
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main()
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