Diffusers weights test (#32)

- Upload folder using huggingface_hub (e8c43b189c072e89cd9b7ec6bade9a8647e5dcbc)


Co-authored-by: Aryan V S <[email protected]>

model_index.json

@@ -0,0 +1,24 @@
+{
+  "_class_name": "LTXPipeline",
+  "_diffusers_version": "0.32.0.dev0",
+  "scheduler": [
+    "diffusers",
+    "FlowMatchEulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "T5EncoderModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "T5Tokenizer"
+  ],
+  "transformer": [
+    "diffusers",
+    "LTXTransformer3DModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKLLTX"
+  ]
+}

scheduler/scheduler_config.json

@@ -1,8 +1,16 @@
 {
-  "_class_name": "RectifiedFlowScheduler",
-  "_diffusers_version": "0.25.1",
+  "_class_name": "FlowMatchEulerDiscreteScheduler",
+  "_diffusers_version": "0.32.0.dev0",
+  "base_image_seq_len": 1024,
+  "base_shift": 0.95,
+  "invert_sigmas": false,
+  "max_image_seq_len": 4096,
+  "max_shift": 2.05,
   "num_train_timesteps": 1000,
-  "shifting": "SD3",
-  "base_resolution": null,
-  "target_shift_terminal": 0.1
+  "shift": 1.0,
+  "shift_terminal": 0.1,
+  "use_beta_sigmas": false,
+  "use_dynamic_shifting": true,
+  "use_exponential_sigmas": false,
+  "use_karras_sigmas": false
 }

text_encoder/config.json

@@ -0,0 +1,32 @@
+{
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+  "architectures": [
+    "T5EncoderModel"
+  ],
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+  "d_kv": 64,
+  "d_model": 4096,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "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": "float32",
+  "transformers_version": "4.46.2",
+  "use_cache": true,
+  "vocab_size": 32128
+}

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text_encoder/model-00003-of-00004.safetensors

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tokenizer/special_tokens_map.json

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tokenizer/spiece.model

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tokenizer/tokenizer_config.json

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+}

vae/config.json

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-{"_class_name": "CausalVideoAutoencoder", "dims": 3, "in_channels": 3, "out_channels": 3, "latent_channels": 128, "blocks": [["res_x", 4], ["compress_all", 1], ["res_x_y", 1], ["res_x", 3], ["compress_all", 1], ["res_x_y", 1], ["res_x", 3], ["compress_all", 1], ["res_x", 3], ["res_x", 4]], "scaling_factor": 1.0, "norm_layer": "pixel_norm", "patch_size": 4, "latent_log_var": "uniform", "use_quant_conv": false, "causal_decoder": false}
+{
+  "_class_name": "AutoencoderKLLTX",
+  "_diffusers_version": "0.32.0.dev0",
+  "block_out_channels": [
+    128,
+    256,
+    512,
+    512
+  ],
+  "decoder_causal": false,
+  "encoder_causal": true,
+  "in_channels": 3,
+  "latent_channels": 128,
+  "layers_per_block": [
+    4,
+    3,
+    3,
+    3,
+    4
+  ],
+  "out_channels": 3,
+  "patch_size": 4,
+  "patch_size_t": 1,
+  "resnet_norm_eps": 1e-06,
+  "scaling_factor": 1.0,
+  "spatio_temporal_scaling": [
+    true,
+    true,
+    true,
+    false
+  ]
+}

vae/diffusion_pytorch_model.safetensors

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