patrickvonplaten commited on
Commit
e3add20
1 Parent(s): 96eb466
model_index.json CHANGED
@@ -1,6 +1,6 @@
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  {
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  "_class_name": "DDPMPipeline",
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- "_module": "modeling_ddpm.py",
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  "scheduler": [
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  "diffusers",
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  "DDPMScheduler"
 
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  {
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  "_class_name": "DDPMPipeline",
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+ "_diffusers_version": "0.15.0.dev0",
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  "scheduler": [
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  "diffusers",
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  "DDPMScheduler"
scheduler_config.json → scheduler/scheduler_config.json RENAMED
@@ -1,11 +1,16 @@
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  {
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  "_class_name": "DDPMScheduler",
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- "_diffusers_version": "0.1.1",
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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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  "num_train_timesteps": 1000,
 
 
 
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  "trained_betas": null,
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  "variance_type": "fixed_large"
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  }
 
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  {
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  "_class_name": "DDPMScheduler",
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+ "_diffusers_version": "0.15.0.dev0",
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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": "epsilon",
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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_large"
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  }
config.json → unet/config.json RENAMED
@@ -1,7 +1,9 @@
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  {
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  "_class_name": "UNet2DModel",
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- "_diffusers_version": "0.0.4",
 
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  "act_fn": "silu",
 
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  "attention_head_dim": null,
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  "block_out_channels": [
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  128,
@@ -10,6 +12,7 @@
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  256
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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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  "AttnDownBlock2D",
@@ -24,7 +27,9 @@
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  "mid_block_scale_factor": 1,
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  "norm_eps": 1e-06,
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  "norm_num_groups": 32,
 
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  "out_channels": 3,
 
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  "sample_size": 32,
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  "time_embedding_type": "positional",
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  "up_block_types": [
 
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  {
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  "_class_name": "UNet2DModel",
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+ "_diffusers_version": "0.15.0.dev0",
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+ "_name_or_path": "./",
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  "act_fn": "silu",
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+ "add_attention": true,
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  "attention_head_dim": null,
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  "block_out_channels": [
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  128,
 
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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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  "AttnDownBlock2D",
 
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  "mid_block_scale_factor": 1,
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  "norm_eps": 1e-06,
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  "norm_num_groups": 32,
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+ "num_class_embeds": null,
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  "out_channels": 3,
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+ "resnet_time_scale_shift": "default",
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  "sample_size": 32,
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  "time_embedding_type": "positional",
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  "up_block_types": [
diffusion_pytorch_model.bin → unet/diffusion_pytorch_model.bin RENAMED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:ac3416a548879738893e935b42cab9119f51745b62bec4b6d8375e4d86e98ea4
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- size 143101489
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:05f238efa9d7877867ae2d75efedf50044de988d7f5d827e12cd1b51c5c51fda
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+ size 143107409