3600 steps one-shot trained from revert. photo dataset finetuning, fixed micro conditioning inputs

unet/diffusion_pytorch_model.safetensors

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unet_ema/config.json

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+{
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+  "_diffusers_version": "0.22.0.dev0",
+  "_name_or_path": "/notebooks/datasets/models/checkpoint-17400",
+  "act_fn": "silu",
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+  "down_block_types": [
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+  "dropout": 0.0,
+  "dual_cross_attention": false,
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+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "in_channels": 4,
+  "layers_per_block": 2,
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+  "mid_block_scale_factor": 1,
+  "mid_block_type": "UNetMidBlock2DCrossAttn",
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+  "num_class_embeds": null,
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+  "out_channels": 4,
+  "projection_class_embeddings_input_dim": 2816,
+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
+  "sample_size": 128,
+  "time_cond_proj_dim": null,
+  "time_embedding_act_fn": null,
+  "time_embedding_dim": null,
+  "time_embedding_type": "positional",
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+  "transformer_layers_per_block": [
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+  "up_block_types": [
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+    "CrossAttnUpBlock2D",
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+  ],
+  "upcast_attention": null,
+  "use_linear_projection": true
+}

unet_ema/diffusion_pytorch_model.safetensors

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