Update app.py

app.py

@@ -113,7 +113,7 @@ def generate(segment, image, prompt, size, guidance_scale, num_inference_steps,
         segment_timesteps = torch.from_numpy(timesteps_split_np[0]).to("cuda")
         num_channels_latents = pipe.transformer.config.in_channels
         num_channels_latents = int(num_channels_latents / 2)
-        image = Image.open(image.name).convert('RGB')
+        image = Image.open(image).convert('RGB')
         image.resize((size,size), Image.LANCZOS)
         with torch.no_grad():
             image = pipe.video_processor.preprocess(image, height=size, width=size).to(