Instructions to use HuskyMango/red-block-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use HuskyMango/red-block-diffusion with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- config.json +5 -5
- model.safetensors +2 -2
- train_config.json +14 -14
config.json
CHANGED
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@@ -74,8 +74,8 @@
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"tags": null,
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"license": null,
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"pretrained_path": null,
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-
"horizon":
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"n_action_steps":
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"normalization_mapping": {
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"VISUAL": "MEAN_STD",
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"STATE": "MIN_MAX",
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"crop_ratio": 1.0,
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"crop_shape": null,
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"crop_is_random": true,
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-
"pretrained_backbone_weights":
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"use_group_norm":
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"spatial_softmax_num_keypoints": 32,
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"use_separate_rgb_encoder_per_camera":
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"down_dims": [
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512,
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1024,
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"tags": null,
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"license": null,
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"pretrained_path": null,
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"horizon": 16,
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"n_action_steps": 8,
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"normalization_mapping": {
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"VISUAL": "MEAN_STD",
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"STATE": "MIN_MAX",
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"crop_ratio": 1.0,
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"crop_shape": null,
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"crop_is_random": true,
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+
"pretrained_backbone_weights": null,
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"use_group_norm": true,
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"spatial_softmax_num_keypoints": 32,
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"use_separate_rgb_encoder_per_camera": false,
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"down_dims": [
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512,
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1024,
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0bea626d7c807f1f9cc3abdad118d8df95c15f579c4c9fa593656ac757032f2
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+
size 1127674144
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train_config.json
CHANGED
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@@ -77,7 +77,6 @@
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"revision": null,
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"use_imagenet_stats": true,
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"video_backend": "torchcodec",
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"return_uint8": false,
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"streaming": false
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},
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"env": null,
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"tags": null,
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"license": null,
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"pretrained_path": null,
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-
"horizon":
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"n_action_steps":
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"normalization_mapping": {
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"VISUAL": "MEAN_STD",
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"STATE": "MIN_MAX",
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"crop_ratio": 1.0,
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"crop_shape": null,
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"crop_is_random": true,
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-
"pretrained_backbone_weights":
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"use_group_norm":
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"spatial_softmax_num_keypoints": 32,
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-
"use_separate_rgb_encoder_per_camera":
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"down_dims": [
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512,
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1024,
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"scheduler_name": "cosine",
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"scheduler_warmup_steps": 500
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},
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-
"reward_model": null,
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"output_dir": "../franka_data/policy/train/diffusion_HuskyMango/red-block-simple_20260510_200349",
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"job_name": "diffusion_HuskyMango/red-block-simple_20260510_200349",
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"resume": false,
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"cudnn_deterministic": false,
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"num_workers": 4,
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"batch_size": 32,
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"
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"persistent_workers": true,
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"steps": 10000,
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"eval_freq": 20000,
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"log_freq": 200,
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"tolerance_s": 0.0001,
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},
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"eval": {
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"n_episodes": 50,
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"batch_size":
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"use_async_envs":
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},
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"wandb": {
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"enable": true,
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"project": "lerobot",
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"entity": null,
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"notes": null,
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"run_id": "
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"mode": null,
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"add_tags": true
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},
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"peft": null,
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"
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"rename_map": {},
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"checkpoint_path": null
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}
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"revision": null,
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"use_imagenet_stats": true,
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"video_backend": "torchcodec",
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"streaming": false
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},
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"env": null,
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"tags": null,
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"license": null,
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"pretrained_path": null,
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"horizon": 16,
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"n_action_steps": 8,
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"normalization_mapping": {
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"VISUAL": "MEAN_STD",
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"STATE": "MIN_MAX",
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"crop_ratio": 1.0,
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"crop_shape": null,
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"crop_is_random": true,
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"pretrained_backbone_weights": null,
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"use_group_norm": true,
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"spatial_softmax_num_keypoints": 32,
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"use_separate_rgb_encoder_per_camera": false,
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"down_dims": [
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512,
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1024,
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"scheduler_name": "cosine",
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"scheduler_warmup_steps": 500
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},
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"output_dir": "../franka_data/policy/train/diffusion_HuskyMango/red-block-simple_20260510_200349",
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"job_name": "diffusion_HuskyMango/red-block-simple_20260510_200349",
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"resume": false,
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"cudnn_deterministic": false,
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"num_workers": 4,
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"batch_size": 32,
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"steps": 100000,
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"eval_freq": 20000,
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"log_freq": 200,
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"tolerance_s": 0.0001,
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},
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"eval": {
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"n_episodes": 50,
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"batch_size": 50,
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"use_async_envs": false
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},
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"wandb": {
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"enable": true,
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"project": "lerobot",
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"entity": null,
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"notes": null,
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"run_id": "wdqe36c6",
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"mode": null,
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"add_tags": true
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},
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"peft": null,
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"use_rabc": false,
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"rabc_progress_path": null,
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"rabc_kappa": 0.01,
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"rabc_epsilon": 1e-06,
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"rabc_head_mode": "sparse",
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"rename_map": {},
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"checkpoint_path": null
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}
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