Create app.py

app.py

@@ -0,0 +1,14 @@
+from diffusers import DiffusionPipeline
+import torch
+
+model_id = "AIuser3842/ponyturbov6"
+pipe = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+
+pipe.load_lora_weights("EX4L/fruitsalad1", weight_name="Fruits-000039.safetensors", adapter_name="fruitbasket")
+pipe.load_lora_weights("EX4L/Lora", weight_name="Xyzu.safetensors", adapter_name="minimalist-style")
+
+pipe.set_adapters(["fruitbasket", "minimalist-style"], adapter_weights=[0.7, 0.5])
+
+pipe.fuse_lora()
+
+pipe.save_pretrained("./multi_lora_fused_model")