Upload KandinskyPipeline

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text

model_index.json

@@ -0,0 +1,25 @@
+{
+  "_class_name": "KandinskyPipeline",
+  "_diffusers_version": "0.25.0",
+  "_name_or_path": "kandinsky-community/kandinsky-2-1",
+  "movq": [
+    "diffusers",
+    "VQModel"
+  ],
+  "scheduler": [
+    "diffusers",
+    "DDIMScheduler"
+  ],
+  "text_encoder": [
+    "kandinsky",
+    "MultilingualCLIP"
+  ],
+  "tokenizer": [
+    "transformers",
+    "XLMRobertaTokenizerFast"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ]
+}

movq/config.json

@@ -0,0 +1,37 @@
+{
+  "_class_name": "VQModel",
+  "_diffusers_version": "0.25.0",
+  "_name_or_path": "/home/user/.cache/huggingface/hub/models--kandinsky-community--kandinsky-2-1/snapshots/04b366659663bf60deacb96fd3e38f1cb39a3be4/movq",
+  "act_fn": "silu",
+  "block_out_channels": [
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+    256,
+    256,
+    512
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+  "down_block_types": [
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+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "AttnDownEncoderBlock2D"
+  ],
+  "force_upcast": false,
+  "in_channels": 3,
+  "latent_channels": 4,
+  "layers_per_block": 2,
+  "lookup_from_codebook": false,
+  "mid_block_add_attention": true,
+  "norm_num_groups": 32,
+  "norm_type": "spatial",
+  "num_vq_embeddings": 16384,
+  "out_channels": 3,
+  "sample_size": 32,
+  "scaling_factor": 0.18215,
+  "up_block_types": [
+    "AttnUpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ],
+  "vq_embed_dim": 4
+}

movq/diffusion_pytorch_model.safetensors

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scheduler/scheduler_config.json

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+{
+  "_class_name": "DDIMScheduler",
+  "_diffusers_version": "0.25.0",
+  "beta_end": 0.012,
+  "beta_schedule": "linear",
+  "beta_start": 0.00085,
+  "clip_sample": false,
+  "clip_sample_range": 1.0,
+  "dynamic_thresholding_ratio": 0.995,
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "rescale_betas_zero_snr": false,
+  "sample_max_value": 1.0,
+  "set_alpha_to_one": false,
+  "steps_offset": 1,
+  "thresholding": false,
+  "timestep_spacing": "leading",
+  "trained_betas": null
+}

text_encoder/config.json

@@ -0,0 +1,30 @@
+{
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+  "architectures": [
+    "MultilingualCLIP"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "M-CLIP",
+  "numDims": 768,
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformerDimensions": 1024,
+  "transformers_version": "4.37.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

text_encoder/model.safetensors

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer.json

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tokenizer/tokenizer_config.json

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+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}

unet/config.json

@@ -0,0 +1,68 @@
+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.25.0",
+  "_name_or_path": "/home/user/.cache/huggingface/hub/models--kandinsky-community--kandinsky-2-1/snapshots/04b366659663bf60deacb96fd3e38f1cb39a3be4/unet",
+  "act_fn": "silu",
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+  "addition_time_embed_dim": null,
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+  "attention_type": "default",
+  "block_out_channels": [
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+  "center_input_sample": false,
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+  "conv_in_kernel": 3,
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+  "down_block_types": [
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+  "downsample_padding": 1,
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+  "encoder_hid_dim": 1024,
+  "encoder_hid_dim_type": "text_image_proj",
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unet/diffusion_pytorch_model.safetensors

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