uP

model_index.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "DDPMPipeline",
-  "_module": "modeling_ddpm.py",
+  "_diffusers_version": "0.15.0.dev0",
   "scheduler": [
     "diffusers",
     "DDPMScheduler"

scheduler_config.json → scheduler/scheduler_config.json

@@ -1,11 +1,16 @@
 {
   "_class_name": "DDPMScheduler",
-  "_diffusers_version": "0.1.1",
+  "_diffusers_version": "0.15.0.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": 1000,
+  "prediction_type": "epsilon",
+  "sample_max_value": 1.0,
+  "thresholding": false,
   "trained_betas": null,
   "variance_type": "fixed_large"
 }

config.json → unet/config.json

@@ -1,7 +1,9 @@
 {
   "_class_name": "UNet2DModel",
-  "_diffusers_version": "0.0.4",
+  "_diffusers_version": "0.15.0.dev0",
+  "_name_or_path": "./",
   "act_fn": "silu",
+  "add_attention": true,
   "attention_head_dim": null,
   "block_out_channels": [
     128,
@@ -10,6 +12,7 @@
     256
   ],
   "center_input_sample": false,
+  "class_embed_type": null,
   "down_block_types": [
     "DownBlock2D",
     "AttnDownBlock2D",
@@ -24,7 +27,9 @@
   "mid_block_scale_factor": 1,
   "norm_eps": 1e-06,
   "norm_num_groups": 32,
+  "num_class_embeds": null,
   "out_channels": 3,
+  "resnet_time_scale_shift": "default",
   "sample_size": 32,
   "time_embedding_type": "positional",
   "up_block_types": [

diffusion_pytorch_model.bin → unet/diffusion_pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ac3416a548879738893e935b42cab9119f51745b62bec4b6d8375e4d86e98ea4
-size 143101489
+oid sha256:05f238efa9d7877867ae2d75efedf50044de988d7f5d827e12cd1b51c5c51fda
+size 143107409