Update app.py

app.py

@@ -4,7 +4,7 @@ from diffusers import AnimateDiffPipeline, MotionAdapter, DDIMScheduler
 from diffusers.utils import export_to_gif
 import random
 
-def generate_gif(image, animation_type):
+def generate_gif(image, animation_type, prompt, adapter_strength):
     # Load the motion adapter
     adapter = MotionAdapter.from_pretrained("guoyww/animatediff-motion-adapter-v1-5-2", torch_dtype=torch.float16)
 
@@ -35,10 +35,9 @@ def generate_gif(image, animation_type):
 
     # Generate a random seed
     seed = random.randint(0, 2**32 - 1)
-    prompt = "best quality, high quality, trending on artstation"
 
     # Set adapter weights for the selected adapter
-    adapter_weight = [0.75]
+    adapter_weight = [adapter_strength]
 
     pipe.set_adapters([animation_type], adapter_weights=adapter_weight)
 
@@ -60,10 +59,15 @@ def generate_gif(image, animation_type):
 # Gradio interface
 iface = gr.Interface(
     fn=generate_gif,
-    inputs=[gr.Image(type="pil"), gr.Radio(["zoom-out", "tilt-up", "pan-left"])],
+    inputs=[
+        gr.Image(type="pil"), 
+        gr.Radio(["zoom-out", "tilt-up", "pan-left"]),
+        gr.Textbox(label="Prompt"),
+        gr.Slider(minimum=0, maximum=4, step=0.1, default=1, label="IP Adapter Strength")
+    ],
     outputs=gr.Image(type="pil", label="Generated GIF"),
     title="AnimateDiff + IP Adapter Demo",
-    description="Upload an image and select an motion module type to generate a GIF!"
+    description="Upload an image, select a motion module type, and adjust the prompt and IP Adapter strength to generate a GIF!"
 )
 
-iface.launch(debug=True,share=True)
+iface.launch(debug=True, share=True)