Update app.py

app.py

@@ -8,18 +8,31 @@ subprocess.run(
 import torch
 import spaces
 import gradio as gr
-from diffusers import FluxFillPipeline
+from diffusers import FluxFillPipeline, FluxTransformer2DModel, AutoencoderKL
 import random
 import numpy as np
 from huggingface_hub import hf_hub_download
 
+
 os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
 MAX_SEED = np.iinfo(np.int32).max
-
+model = "black-forest-labs/FLUX.1-dev"
+hf_hub_download(repo_id="black-forest-labs/FLUX.1-Fill-dev", filename="ae.safetensors", local_dir=".")
 
 if torch.cuda.is_available():
-    repo_id = "black-forest-labs/FLUX.1-Fill-dev"
-    pipe = FluxFillPipeline.from_pretrained(repo_id, torch_dtype=torch.bfloat16).to("cuda")
+    transformer = FluxTransformer2DModel.from_single_file(
+        "https://huggingface.co/black-forest-labs/FLUX.1-Fill-dev/blob/main/flux1-fill-dev.safetensors",
+        low_cpu_mem_usage=False,
+        ignore_mismatched_sizes=True,
+        torch_dtype=torch.bfloat16
+    )
+    vae = AutoencoderKL.from_pretrained("./ae.safetensors")
+    pipe = FluxFillPipeline.from_pretrained(
+        model,
+        vae=vae,
+        transformer=transformer,
+        torch_dtype=torch.bfloat16)
+    pipe.to("cuda")
 
 
 @spaces.GPU()