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@@ -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 +1,24 @@
+{
+  "_class_name": "SanaPipeline",
+  "_diffusers_version": "0.32.0.dev0",
+  "scheduler": [
+    "diffusers",
+    "FlowMatchEulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers_modules.visheratin.mexma-siglip.c284b0df4f065b1a702913fc0d79db7f254df274.mexma_siglip",
+    "MexmaSigLIP"
+  ],
+  "tokenizer": [
+    "transformers",
+    "XLMRobertaTokenizerFast"
+  ],
+  "transformer": [
+    "diffusers",
+    "SanaTransformer2DModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

scheduler/scheduler_config.json

@@ -0,0 +1,16 @@
+{
+  "_class_name": "FlowMatchEulerDiscreteScheduler",
+  "_diffusers_version": "0.32.0.dev0",
+  "base_image_seq_len": 256,
+  "base_shift": 0.5,
+  "invert_sigmas": false,
+  "max_image_seq_len": 4096,
+  "max_shift": 1.15,
+  "num_train_timesteps": 1000,
+  "shift": 3.0,
+  "shift_terminal": null,
+  "use_beta_sigmas": false,
+  "use_dynamic_shifting": false,
+  "use_exponential_sigmas": false,
+  "use_karras_sigmas": false
+}

text_encoder/config.json

@@ -0,0 +1,13 @@
+{
+  "_name_or_path": "visheratin/mexma-siglip",
+  "architectures": [
+    "MexmaSigLIP"
+  ],
+  "auto_map": {
+    "AutoConfig": "visheratin/mexma-siglip--mexma_siglip.MexmaSigLIPConfig",
+    "AutoModel": "visheratin/mexma-siglip--mexma_siglip.MexmaSigLIP"
+  },
+  "optimized": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.3"
+}

text_encoder/model.fp16.safetensors

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tokenizer/special_tokens_map.json

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+    "rstrip": false,
+    "single_word": false
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+    "lstrip": false,
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+    "single_word": false
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+    "normalized": false,
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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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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  "cls_token": "<s>",
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+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}

transformer/config.json

@@ -0,0 +1,20 @@
+{
+  "_class_name": "SanaTransformer2DModel",
+  "_diffusers_version": "0.32.0.dev0",
+  "attention_bias": false,
+  "attention_head_dim": 32,
+  "caption_channels": 1024,
+  "cross_attention_dim": 2240,
+  "cross_attention_head_dim": 112,
+  "dropout": 0.0,
+  "in_channels": 16,
+  "mlp_ratio": 2.5,
+  "norm_elementwise_affine": false,
+  "norm_eps": 1e-06,
+  "num_attention_heads": 70,
+  "num_cross_attention_heads": 20,
+  "num_layers": 20,
+  "out_channels": 16,
+  "patch_size": 1,
+  "sample_size": 64
+}

transformer/diffusion_pytorch_model.fp16.safetensors

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vae/config.json

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+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.32.0.dev0",
+  "_name_or_path": "AuraDiffusion/16ch-vae",
+  "act_fn": "silu",
+  "block_out_channels": [
+    128,
+    256,
+    512,
+    512
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
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+  "force_upcast": false,
+  "in_channels": 3,
+  "latent_channels": 16,
+  "latents_mean": null,
+  "latents_std": null,
+  "layers_per_block": 2,
+  "mid_block_add_attention": false,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 1024,
+  "scaling_factor": 0.18215,
+  "shift_factor": 0,
+  "up_block_types": [
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ],
+  "use_post_quant_conv": true,
+  "use_quant_conv": true
+}

vae/diffusion_pytorch_model.fp16.safetensors

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