Update from jmamou
Browse files- README.md +1 -0
- logs/train_distil_unconditional/events.out.tfevents.1668543210.ezaken-MOBL2.ger.corp.intel.com.20865.0 +3 -0
- logs/train_distil_unconditional/events.out.tfevents.1668544220.ezaken-MOBL2.ger.corp.intel.com.21078.0 +3 -0
- logs/train_distil_unconditional/events.out.tfevents.1668544350.ezaken-MOBL2.ger.corp.intel.com.21108.0 +3 -0
- logs/train_distil_unconditional/events.out.tfevents.1668544455.ezaken-MOBL2.ger.corp.intel.com.21196.0 +3 -0
- logs/train_distil_unconditional/events.out.tfevents.1668590211.Jonathans-MacBook-Pro.local.23806.0 +3 -0
- logs/train_distil_unconditional/events.out.tfevents.1668590573.PQGXWQH12Rmac.jer.intel.com.23898.0 +3 -0
- logs/train_distil_unconditional/events.out.tfevents.1668599478.PQGXWQH12Rmac.jer.intel.com.26116.0 +3 -0
- model_index.json +12 -0
- scheduler/scheduler_config.json +11 -0
- unet/config.json +30 -0
- unet/diffusion_pytorch_model.bin +3 -0
README.md
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Distilled diffuser model
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logs/train_distil_unconditional/events.out.tfevents.1668543210.ezaken-MOBL2.ger.corp.intel.com.20865.0
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logs/train_distil_unconditional/events.out.tfevents.1668590211.Jonathans-MacBook-Pro.local.23806.0
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model_index.json
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{
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"_class_name": "DDPMPipeline",
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"_diffusers_version": "0.7.2",
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"scheduler": [
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"diffusers",
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"DDPMScheduler"
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"unet": [
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"diffusers",
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"UNet2DModel"
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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": "0.7.2",
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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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"num_train_timesteps": 1000,
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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": "0.7.2",
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"act_fn": "silu",
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"attention_head_dim": 8,
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"block_out_channels": [
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128,
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128
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],
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"center_input_sample": false,
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"down_block_types": [
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"DownBlock2D",
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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": 3,
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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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"out_channels": 3,
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"sample_size": 64,
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"time_embedding_type": "positional",
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"up_block_types": [
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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
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