model release

model_index.json

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+{
+  "_class_name": "AniMemoryPipeLine",
+  "_diffusers_version": "0.32.0.dev0",
+  "feature_extractor": [
+    null,
+    null
+  ],
+  "force_zeros_for_empty_prompt": true,
+  "image_encoder": [
+    null,
+    null
+  ],
+  "scheduler": [
+    "diffusers",
+    "EulerAncestralDiscreteXPredScheduler"
+  ],
+  "text_encoder": [
+    "animemory",
+    "AniMemoryT5"
+  ],
+  "text_encoder_2": [
+    "animemory",
+    "AniMemoryAltCLip"
+  ],
+  "tokenizer": [
+    "transformers",
+    "XLMRobertaTokenizerFast"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "XLMRobertaTokenizerFast"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "animemory",
+    "MoVQ"
+  ]
+}

scheduler/scheduler_config.json

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+{
+  "_class_name": "EulerDiscreteScheduler",
+  "_diffusers_version": "0.26.0",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "interpolation_type": "linear",
+  "num_train_timesteps": 1000,
+  "prediction_type": "sample",
+  "rescale_betas_zero_snr": false,
+  "sigma_max": null,
+  "sigma_min": null,
+  "steps_offset": 0,
+  "timestep_spacing": "linspace",
+  "timestep_type": "discrete",
+  "trained_betas": null,
+  "use_karras_sigmas": false
+}

text_encoder/config.json

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+{
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+  "d_kv": 64,
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+  "initializer_factor": 1.0,
+  "is_encoder_decoder": false,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 24,
+  "num_heads": 64,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.30.2",
+  "use_cache": false,
+  "vocab_size": 32128
+}

text_encoder/embed_tokens_encoder.pt

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text_encoder/model.safetensors

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text_encoder_2/config.json

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+{
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+    "CLIPTextModelWithProjection"
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+  "intermediate_size": 5120,
+  "layer_norm_eps": 1e-05,
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+  "model_type": "clip_text_model",
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+  "num_hidden_layers": 32,
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+  "projection_dim": 1280,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.30.2",
+  "vocab_size": 250002
+}

text_encoder_2/linear_proj.pth

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text_encoder_2/model.safetensors

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tokenizer/special_tokens_map.json

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+  "mask_token": {
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+    "single_word": false
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+}

tokenizer/tokenizer.json

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tokenizer/tokenizer_config.json

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+  "eos_token": "</s>",
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+  "model_max_length": 77,
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+  "processor_class": "AltCLIPProcessor",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}

tokenizer_2/special_tokens_map.json

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tokenizer_2/tokenizer.json

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tokenizer_2/tokenizer_config.json

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+  "sp_model_kwargs": {},
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+  "unk_token": "<unk>"
+}

unet/config.json

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+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.26.0",
+  "act_fn": "silu",
+  "addition_embed_type": "text_time",
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+  "attention_head_dim": [
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+  "center_input_sample": false,
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+  "down_block_types": [
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+  "num_class_embeds": null,
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+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
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+  "sample_size": 128,
+  "time_cond_proj_dim": null,
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+  "time_embedding_type": "positional",
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+  "use_linear_projection": true
+}

unet/diffusion_pytorch_model.safetensors

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vae/config.json

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+    "resolution": 256,
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vae/movq_model.safetensors

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