intermediate model for testing

README.md

@@ -1,3 +1,12 @@
 ---
 license: cc-by-2.0
 ---
+
+This is an unconditioned diffusion model trained on around 500
+miscellaneous tiki images from around the web.
+
+It was trained for around 1300 epochs with a loss of 0.0249
+
+Still training actually... just working on the gradio app...
+
+Don't mind me...

model_index.json

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+{
+  "_class_name": "DDPMPipeline",
+  "_diffusers_version": "0.1.3",
+  "scheduler": [
+    "diffusers",
+    "DDPMScheduler"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DModel"
+  ]
+}

scheduler/scheduler_config.json

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+{
+  "_class_name": "DDPMScheduler",
+  "_diffusers_version": "0.1.3",
+  "beta_end": 0.02,
+  "beta_schedule": "linear",
+  "beta_start": 0.0001,
+  "clip_sample": true,
+  "num_train_timesteps": 1000,
+  "trained_betas": null,
+  "variance_type": "fixed_small"
+}

unet/config.json

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+{
+  "_class_name": "UNet2DModel",
+  "_diffusers_version": "0.1.3",
+  "_name_or_path": "trained/tiki-64/unet",
+  "act_fn": "silu",
+  "attention_head_dim": 8,
+  "block_out_channels": [
+    128,
+    128,
+    256,
+    256,
+    512,
+    512
+  ],
+  "center_input_sample": false,
+  "down_block_types": [
+    "DownBlock2D",
+    "DownBlock2D",
+    "DownBlock2D",
+    "DownBlock2D",
+    "AttnDownBlock2D",
+    "DownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "in_channels": 3,
+  "layers_per_block": 2,
+  "mid_block_scale_factor": 1,
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 64,
+  "time_embedding_type": "positional",
+  "up_block_types": [
+    "UpBlock2D",
+    "AttnUpBlock2D",
+    "UpBlock2D",
+    "UpBlock2D",
+    "UpBlock2D",
+    "UpBlock2D"
+  ]
+}

unet/diffusion_pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9721e7c18d03a744720e51bd71564dcf01f6d6c6166a482cf147ddf72155a676
+size 454859389