Upload model_index.json

model_index.json

@@ -1,24 +1,40 @@
-{
-  "model_name": "medallo/asd",
-  "description": "Modelo de ejemplo para demostración",
-  "url": {
-    "weights": "https://huggingface.co/medallo/asd/resolve/main/a2.safetensors?download=true",
-    "config": "https://huggingface.co/medallo/asd/resolve/main/config.json",
-    "tokenizer": "https://huggingface.co/medallo/asd/resolve/main/tokenizer.json"
-  },
-  "version": "1.0.0",
-  "tags": ["demo", "experimental"],
-  "architecture": {
-    "type": "Transformer",
-    "layers": 6,
-    "hidden_size": 768
-  },
-  "author": "Medallo AI Team",
-  "license": "MIT",
-  "usage_examples": [
-    {
-      "language": "python",
-      "code": "from transformers import AutoModel\nmodel = AutoModel.from_pretrained('medallo/asd')"
-    }
-  ]
-}
+{
+  "_class_name": "StableDiffusion3Pipeline",
+  "_diffusers_version": "0.29.0.dev0",
+  "scheduler": [
+    "diffusers",
+    "FlowMatchEulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModelWithProjection"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "CLIPTextModelWithProjection"
+  ],
+  "text_encoder_3": [
+    "transformers",
+    "T5EncoderModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_3": [
+    "transformers",
+    "T5TokenizerFast"
+  ],
+  "transformer": [
+    "diffusers",
+    "SD3Transformer2DModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}