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Add new unet checkpoint (add use_data_type_embedding to config)

unet/config.json

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+{
+  "_class_name": "UniDiffuserModel",
+  "_diffusers_version": "0.17.0.dev0",
+  "activation_fn": "gelu",
+  "attention_bias": false,
+  "attention_head_dim": 8,
+  "block_type": "unidiffuser",
+  "clip_img_dim": 32,
+  "cross_attention_dim": null,
+  "dropout": 0.0,
+  "ff_final_dropout": true,
+  "in_channels": 4,
+  "norm_elementwise_affine": true,
+  "norm_num_groups": 32,
+  "norm_type": "layer_norm",
+  "num_attention_heads": 2,
+  "num_embeds_ada_norm": 1000,
+  "num_layers": 2,
+  "num_text_tokens": 77,
+  "num_vector_embeds": null,
+  "only_cross_attention": false,
+  "out_channels": 4,
+  "patch_size": 2,
+  "pre_layer_norm": false,
+  "sample_size": 16,
+  "text_dim": 32,
+  "upcast_attention": false,
+  "use_data_type_embedding": false,
+  "use_linear_projection": false,
+  "use_patch_pos_embed": false,
+  "use_timestep_embedding": false
+}

unet/diffusion_pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31df5e33d86c5d8721e9d5bd882adb1f34a5864f418ae6fd2e5cf310a75549b1
+size 86609