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
53 lines
1.2 KiB
YAML
53 lines
1.2 KiB
YAML
model:
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base_learning_rate: 5.0e-05
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target: hunyuanpaintpbr.model.HunyuanPaint
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params:
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num_view: 6
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view_size: 512
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drop_cond_prob: 0.1
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noise_in_channels: 12
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stable_diffusion_config:
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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custom_pipeline: ./hunyuanpaintpbr
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data:
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target: src.data.objaverse_hunyuan.DataModuleFromConfig
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params:
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batch_size: 1
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num_workers: 4
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train:
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-
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target: src.data.dataloader.objaverse_loader_forTexturePBR.TextureDataset
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params:
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num_view: 6
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json_path: train_examples/examples.json
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validation:
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-
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target: src.data.dataloader.objaverse_loader_forTexturePBR.TextureDataset
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params:
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num_view: 6
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json_path: train_examples/examples.json
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lightning:
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modelcheckpoint:
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params:
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every_n_train_steps: 10000
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save_top_k: -1
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save_last: true
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callbacks: {}
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trainer:
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benchmark: true
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max_epochs: -1
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gradient_clip_val: 1.0
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val_check_interval: 1000
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num_sanity_val_steps: 0
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accumulate_grad_batches: 1
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check_val_every_n_epoch: null # if not set this, validation does not run
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init_control_from:
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resume_from:
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