Update app.py

app.py

@@ -3,20 +3,22 @@ import numpy as np
 import random
 
 import spaces
-from diffusers import DiffusionPipeline
+from diffusers import StableDiffusionPipeline
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-model_repo_id = "ZennyKenny/flux_lora_natalie-diffusion"
+torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
 
-if torch.cuda.is_available():
-    torch_dtype = torch.float16
-else:
-    torch_dtype = torch.float32
+pipe = StableDiffusionPipeline.from_pretrained(
+    "black-forest-labs/FLUX.1-dev",
+    torch_dtype=torch_dtype
+)
+
+pipe.unet.load_attn_procs("ZennyKenny/flux_lora_natalie-diffusion")
 
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
+
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024