@@ -59,29 +59,24 @@ class Fluxlorafast(SimpleService):
             '4:3': 'landscape_4_3',
             '16:9': 'landscape_16_9',
         }
-        loras = {
-            'Tarot': {
-                'path': 'https://huggingface.co/multimodalart/flux-tarot-v1/resolve/main/flux_tarot_v1_lora.safetensors'
-            },
-            'Realistic': {
-                'path': 'https://civitai.com/api/download/models/724060?type=Model&format=SafeTensor&a=1'
-            },
-            'Logo': {
-                'path': 'https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design/resolve/main/FLUX-dev-lora-Logo-Design.safetensors'
-            },
-        }
         requests_number = 0
         start_time = time.time()
         version = input_message.info.get('version')
         translated_prompt = self.translate_prompt(input_message.content)
         callback_data = dict(
             {
-                'prompt': translated_prompt,
+                'prompt': f'in style of raif3_corporate Isometric illustration, '
+                          f'contemporary vector art style, 3/4 perspective view: {translated_prompt}',
                 'model_version': 'fb90c17a-d410-41e7-9961-dc7c687bc627',
                 'image_size': sizes.get(input_message.info.get('image_size', '1:1')),
-                'loras': [loras.get(input_message.info.get('lora', 'Realistic'))],
-                'guidance_scale': input_message.info.get('guidance_scale', 3.5),
-                'num_inference_steps': input_message.info.get('num_inference_steps', 28),
+                'loras': [
+                    {
+                        'path': 'https://v3.fal.media/files/elephant/JthCZoCdAr7'
+                                'LqnOiNNVCC_pytorch_lora_weights.safetensors'
+                    }
+                ],
+                'guidance_scale': 1,
+                'num_inference_steps': 32,
                 'num_images': input_message.info.get('num_images', 1),
             }
         )