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analogy_encoder/config.json CHANGED
@@ -1,7 +1,6 @@
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  {
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  "_class_name": "AnalogyEncoder",
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  "_diffusers_version": "0.32.0.dev0",
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- "_name_or_path": "pattern_analogies/pipeline",
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  "dino_config_dict": {
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  "_attn_implementation_autoset": false,
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  "_name_or_path": "facebook/dinov2-large",
@@ -11,7 +10,6 @@
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  "Dinov2Model"
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  ],
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  "attention_probs_dropout_prob": 0.0,
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- "attn_implementation": null,
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  "bad_words_ids": null,
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  "begin_suppress_tokens": null,
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  "bos_token_id": null,
@@ -128,7 +126,6 @@
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  "add_cross_attention": false,
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  "architectures": null,
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  "attention_dropout": 0.0,
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- "attn_implementation": null,
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  "bad_words_ids": null,
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  "begin_suppress_tokens": null,
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  "bos_token_id": null,
 
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  {
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  "_class_name": "AnalogyEncoder",
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  "_diffusers_version": "0.32.0.dev0",
 
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  "dino_config_dict": {
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  "_attn_implementation_autoset": false,
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  "_name_or_path": "facebook/dinov2-large",
 
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  "Dinov2Model"
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  ],
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  "attention_probs_dropout_prob": 0.0,
 
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  "bad_words_ids": null,
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  "begin_suppress_tokens": null,
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  "bos_token_id": null,
 
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  "add_cross_attention": false,
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  "architectures": null,
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  "attention_dropout": 0.0,
 
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  "bad_words_ids": null,
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  "begin_suppress_tokens": null,
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  "bos_token_id": null,
analogy_input_processor/config.json CHANGED
@@ -1,5 +1,4 @@
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  {
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  "_class_name": "AnalogyInputProcessor",
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- "_diffusers_version": "0.32.0.dev0",
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- "_name_or_path": "/media/aditya/OS/project_data/pattern_variations/pattern_analogies_wts/analogy_input_processor"
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  }
 
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  {
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  "_class_name": "AnalogyInputProcessor",
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+ "_diffusers_version": "0.32.0.dev0"
 
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  }
analogy_projector/config.json CHANGED
@@ -1,5 +1,4 @@
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  {
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  "_class_name": "AnalogyProjector",
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- "_diffusers_version": "0.32.0.dev0",
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- "_name_or_path": "/media/aditya/OS/project_data/pattern_variations/pattern_analogies_wts/analogy_projector"
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  }
 
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  {
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  "_class_name": "AnalogyProjector",
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+ "_diffusers_version": "0.32.0.dev0"
 
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  }
model_index.json CHANGED
@@ -1,7 +1,6 @@
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  {
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  "_class_name": "PatternAnalogyTrifuser",
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  "_diffusers_version": "0.32.0.dev0",
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- "_name_or_path": "bardofcodes/pattern_analogies",
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  "analogy_encoder": [
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  "pipeline",
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  "AnalogyEncoder"
 
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  {
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  "_class_name": "PatternAnalogyTrifuser",
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  "_diffusers_version": "0.32.0.dev0",
 
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  "analogy_encoder": [
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  "pipeline",
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  "AnalogyEncoder"
unet/config.json CHANGED
@@ -1,7 +1,7 @@
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  {
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  "_class_name": "UNet2DConditionModel",
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  "_diffusers_version": "0.32.0.dev0",
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- "_name_or_path": "/media/aditya/OS/project_data/pattern_variations/pattern_analogies_wts/unet",
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  "act_fn": "silu",
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  "addition_embed_type": null,
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  "addition_embed_type_num_heads": 64,
 
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  {
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  "_class_name": "UNet2DConditionModel",
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  "_diffusers_version": "0.32.0.dev0",
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+ "_name_or_path": "/media/aditya/OS/project_data/pattern_variations/versatile-diffusion/image_unet",
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  "act_fn": "silu",
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  "addition_embed_type": null,
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  "addition_embed_type_num_heads": 64,
vae/config.json CHANGED
@@ -1,7 +1,7 @@
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  {
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  "_class_name": "AutoencoderKL",
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  "_diffusers_version": "0.32.0.dev0",
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- "_name_or_path": "/media/aditya/OS/project_data/pattern_variations/pattern_analogies_wts/vae",
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  "act_fn": "silu",
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  "block_out_channels": [
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  128,
 
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  {
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  "_class_name": "AutoencoderKL",
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  "_diffusers_version": "0.32.0.dev0",
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+ "_name_or_path": "/media/aditya/OS/project_data/pattern_variations/versatile-diffusion/vae",
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  "act_fn": "silu",
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  "block_out_channels": [
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  128,