Epoch 0
Browse files- .gitignore +2 -0
- model_index.json +12 -0
- params.json +62 -0
- scheduler/scheduler_config.json +16 -0
- unet/config.json +46 -0
- unet/diffusion_pytorch_model.bin +3 -0
.gitignore
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step_*
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epoch_*
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model_index.json
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{
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"_class_name": "DDPMConditionPipeline",
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"_diffusers_version": "0.16.1",
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"scheduler": [
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"diffusers",
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"DDPMScheduler"
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],
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"unet": [
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"diffusers",
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"UNet2DModel"
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]
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}
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params.json
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{
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"dataset_name": [
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"Mtot_Nbody_SIMBA"
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],
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"dataset_config_name": null,
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"dataset_conditional_name": null,
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"model_config_name_or_path": null,
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"base_channels": 64,
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"cross_attention_dim": null,
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"vae": null,
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"vae_from_pretrained": null,
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"vae_scaling_factor": null,
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"train_data_dir": null,
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"output_dir": "output/ddpm-128-v-1000-linear-run1",
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"tag": [
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"na1"
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],
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"overwrite_output_dir": false,
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"cache_dir": "data",
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"resolution": 128,
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"data_size": 13500,
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"super_resolution": null,
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"local_resize": false,
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"conditional": false,
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"center_crop": false,
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"random_flip": false,
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"train_batch_size": 64,
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"eval_batch_size": 16,
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"dataloader_num_workers": 0,
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"num_epochs": 200,
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"save_images_epochs": 10,
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"save_model_epochs": 10,
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"gradient_accumulation_steps": 1,
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"learning_rate": 0.0001,
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"lr_scheduler": "cosine",
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"lr_warmup_steps": 500,
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"adam_beta1": 0.95,
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"adam_beta2": 0.999,
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"adam_weight_decay": 1e-06,
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"adam_epsilon": 1e-08,
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"use_ema": true,
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"ema_inv_gamma": 1.0,
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"ema_power": 0.75,
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"ema_max_decay": 0.9999,
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"push_to_hub": true,
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"hub_token": null,
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"hub_model_id": null,
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"hub_private_repo": false,
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"logger": "wandb",
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"logging_dir": "logs",
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"local_rank": -1,
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"mixed_precision": "no",
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"prediction_type": "v_prediction",
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"loss": "mse",
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"ddpm_num_steps": 1000,
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"ddpm_num_inference_steps": 1000,
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"ddpm_beta_schedule": "linear",
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"checkpointing_steps": 10000,
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"checkpoints_total_limit": null,
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"resume_from_checkpoint": "latest",
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"enable_xformers_memory_efficient_attention": false
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}
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scheduler/scheduler_config.json
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{
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"_class_name": "DDPMScheduler",
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"_diffusers_version": "0.16.1",
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"beta_end": 0.02,
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"beta_schedule": "linear",
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"beta_start": 0.0001,
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"clip_sample": true,
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"clip_sample_range": 1.0,
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"dynamic_thresholding_ratio": 0.995,
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"num_train_timesteps": 1000,
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"prediction_type": "v_prediction",
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"sample_max_value": 1.0,
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"thresholding": false,
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"trained_betas": null,
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"variance_type": "fixed_small"
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}
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unet/config.json
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{
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"_class_name": "UNet2DModel",
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"_diffusers_version": "0.16.1",
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"act_fn": "silu",
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"add_attention": true,
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"attention_head_dim": 8,
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"block_out_channels": [
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64,
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64,
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128,
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128,
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256,
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256
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],
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"center_input_sample": false,
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"class_embed_type": null,
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"down_block_types": [
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"DownBlock2D",
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"DownBlock2D",
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"DownBlock2D",
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"DownBlock2D",
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"AttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 1,
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"layers_per_block": 2,
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"mid_block_scale_factor": 1,
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_class_embeds": null,
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"out_channels": 1,
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"resnet_time_scale_shift": "default",
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"sample_size": 128,
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"time_embedding_type": "positional",
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"up_block_types": [
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"UpBlock2D",
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"AttnUpBlock2D",
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"UpBlock2D",
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"UpBlock2D",
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"UpBlock2D",
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"UpBlock2D"
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]
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}
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unet/diffusion_pytorch_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:96c5a8f006200da3008508b352854b3d223f329aef6af22a6834271da73f6abe
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size 113953789
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