Update model_index.json

model_index.json

@@ -1,24 +1,10 @@
-import requests
-import io
-from PIL import Image
-
-API_URL = "https://api-inference.huggingface.co/models/YOUR_USERNAME/flux-dev-custom-lora"
-headers = {"Authorization": f"Bearer YOUR_API_TOKEN"}
-
-def generate_image(prompt):
-    payload = {
-        "inputs": prompt,
-        "parameters": {
-            "num_inference_steps": 50,
-            "guidance_scale": 7.5,
-            "width": 512,
-            "height": 512
-        }
-    }
-    response = requests.post(API_URL, headers=headers, json=payload)
-    return Image.open(io.BytesIO(response.content))
-
-# Пример использования
-prompt = "A beautiful landscape with mountains and a lake"
-image = generate_image(prompt)
-image.save("generated_image.png")
+{
+  "base_model": "fluxquanta/flux-dev",
+  "_class_name": "LoraLoaderMixin",
+  "model_type": "FluxModel",
+  "lora_config": {
+    "type": "FluxLoraConfig",
+    "rank": 16,
+    "alpha": 16
+  }
+}