Epoch 0

.gitignore

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+step_*
+epoch_*

logs/train/events.out.tfevents.1683055949.5262e7963c15.1727.0

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model_index.json

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+{
+  "_class_name": "DDPMConditionPipeline",
+  "_diffusers_version": "0.17.0.dev0",
+  "scheduler": [
+    "diffusers",
+    "DDPMScheduler"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DModel"
+  ]
+}

params.json

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+{
+    "dataset_name": "Mtot_Nbody_SIMBA",
+    "dataset_config_name": null,
+    "dataset_conditional_name": null,
+    "model_config_name_or_path": null,
+    "vae_model": "stabilityai/sd-vae-ft-ema",
+    "train_data_dir": null,
+    "output_dir": "output/ddpm-ema-256-Mtot-Nbody-SIMBA-1683055770",
+    "overwrite_output_dir": false,
+    "cache_dir": "data",
+    "resolution": 256,
+    "data_size": 13500,
+    "super_resolution": null,
+    "conditional": false,
+    "center_crop": false,
+    "random_flip": false,
+    "train_batch_size": 32,
+    "eval_batch_size": 16,
+    "dataloader_num_workers": 0,
+    "num_epochs": 100,
+    "save_images_epochs": 10,
+    "save_model_epochs": 10,
+    "gradient_accumulation_steps": 1,
+    "learning_rate": 0.0001,
+    "lr_scheduler": "cosine",
+    "lr_warmup_steps": 500,
+    "adam_beta1": 0.95,
+    "adam_beta2": 0.999,
+    "adam_weight_decay": 1e-06,
+    "adam_epsilon": 1e-08,
+    "use_ema": true,
+    "ema_inv_gamma": 1.0,
+    "ema_power": 0.75,
+    "ema_max_decay": 0.9999,
+    "push_to_hub": true,
+    "hub_token": "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",
+    "hub_model_id": null,
+    "hub_private_repo": false,
+    "logger": "tensorboard",
+    "logging_dir": "logs",
+    "local_rank": -1,
+    "mixed_precision": "no",
+    "prediction_type": "epsilon",
+    "loss": "mse",
+    "ddpm_num_steps": 4000,
+    "ddpm_num_inference_steps": 4000,
+    "ddpm_beta_schedule": "linear",
+    "checkpointing_steps": 10000,
+    "checkpoints_total_limit": null,
+    "resume_from_checkpoint": null,
+    "enable_xformers_memory_efficient_attention": false
+}

scheduler/scheduler_config.json

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+{
+  "_class_name": "DDPMScheduler",
+  "_diffusers_version": "0.17.0.dev0",
+  "beta_end": 0.02,
+  "beta_schedule": "linear",
+  "beta_start": 0.0001,
+  "clip_sample": true,
+  "clip_sample_range": 1.0,
+  "dynamic_thresholding_ratio": 0.995,
+  "num_train_timesteps": 4000,
+  "prediction_type": "epsilon",
+  "sample_max_value": 1.0,
+  "thresholding": false,
+  "trained_betas": null,
+  "variance_type": "fixed_small"
+}

unet/config.json

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+{
+  "_class_name": "UNet2DModel",
+  "_diffusers_version": "0.17.0.dev0",
+  "act_fn": "silu",
+  "add_attention": true,
+  "attention_head_dim": 8,
+  "block_out_channels": [
+    128,
+    128,
+    256,
+    256,
+    512,
+    512
+  ],
+  "center_input_sample": false,
+  "class_embed_type": null,
+  "down_block_types": [
+    "DownBlock2D",
+    "DownBlock2D",
+    "DownBlock2D",
+    "DownBlock2D",
+    "AttnDownBlock2D",
+    "DownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "in_channels": 4,
+  "layers_per_block": 2,
+  "mid_block_scale_factor": 1,
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "num_class_embeds": null,
+  "out_channels": 4,
+  "resnet_time_scale_shift": "default",
+  "sample_size": 32,
+  "time_embedding_type": "positional",
+  "up_block_types": [
+    "UpBlock2D",
+    "AttnUpBlock2D",
+    "UpBlock2D",
+    "UpBlock2D",
+    "UpBlock2D",
+    "UpBlock2D"
+  ]
+}

unet/diffusion_pytorch_model.bin

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