e4cfa9d1e9
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
48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
import sys
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sys.path.insert(0, './hy3dshape')
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sys.path.insert(0, './hy3dpaint')
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from PIL import Image
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from hy3dshape.rembg import BackgroundRemover
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from hy3dshape.pipelines import Hunyuan3DDiTFlowMatchingPipeline
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from textureGenPipeline import Hunyuan3DPaintPipeline, Hunyuan3DPaintConfig
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try:
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from torchvision_fix import apply_fix
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apply_fix()
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except ImportError:
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print("Warning: torchvision_fix module not found, proceeding without compatibility fix")
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except Exception as e:
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print(f"Warning: Failed to apply torchvision fix: {e}")
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# shape
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model_path = 'tencent/Hunyuan3D-2.1'
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pipeline_shapegen = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained(model_path)
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image_path = 'assets/demo.png'
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image = Image.open(image_path).convert("RGBA")
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if image.mode == 'RGB':
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rembg = BackgroundRemover()
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image = rembg(image)
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mesh = pipeline_shapegen(image=image)[0]
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mesh.export('demo.glb')
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# paint
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max_num_view = 6 # can be 6 to 9
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resolution = 512 # can be 768 or 512
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conf = Hunyuan3DPaintConfig(max_num_view, resolution)
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conf.realesrgan_ckpt_path = "hy3dpaint/ckpt/RealESRGAN_x4plus.pth"
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conf.multiview_cfg_path = "hy3dpaint/cfgs/hunyuan-paint-pbr.yaml"
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conf.custom_pipeline = "hy3dpaint/hunyuanpaintpbr"
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paint_pipeline = Hunyuan3DPaintPipeline(conf)
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output_mesh_path = 'demo_textured.glb'
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output_mesh_path = paint_pipeline(
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mesh_path = "demo.glb",
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image_path = 'assets/demo.png',
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output_mesh_path = output_mesh_path
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)
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