Update app.py

app.py

@@ -28,8 +28,8 @@ pipe_prior_redux = FluxPriorReduxPipeline.from_pretrained(
     torch_dtype=torch.bfloat16
 ).to("cuda")
 
-examples = [[Image.open("mona_lisa.jpg"), "pink hair, at the beach", None, "", 0.035], 
-            [Image.open("1665_Girl_with_a_Pearl_Earring.jpg"), "", Image.open("dali_example.jpg"), "", 0.035]]
+examples = [[Image.open("mona_lisa.jpg"), "pink hair, at the beach", None, "", 0.035, 1., 1., 1., 1., 0], 
+            [Image.open("1665_Girl_with_a_Pearl_Earring.jpg"), "", Image.open("dali_example.jpg"), "", 0.035, 1., 1., 1., 1., 0]]
 
 @spaces.GPU
 def infer(control_image, prompt,  image_2, prompt_2, reference_scale= 0.03 , 
@@ -79,7 +79,11 @@ with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
         gr.Markdown(f"""# ⚡️ Fast FLUX.1 Redux [dev] ⚡️
 An adapter for FLUX [dev] to create image variations combined with ByteDance [
-Hyper FLUX 8 Steps LoRA](https://huggingface.co/ByteDance/Hyper-SD)
+Hyper FLUX 8 Steps LoRA](https://huggingface.co/ByteDance/Hyper-SD) 🏎️
+Now with added support: 
+- prompt input
+- attention masking for improved prompt adherence
+- multiple image interpolation
 
 [[non-commercial license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)] [[blog](https://blackforestlabs.ai/announcing-black-forest-labs/)] [[model](https://huggingface.co/black-forest-labs/FLUX.1-dev)]
         """)
@@ -194,8 +198,8 @@ Hyper FLUX 8 Steps LoRA](https://huggingface.co/ByteDance/Hyper-SD)
 
         gr.Examples(
                 examples=examples,
-                inputs=[input_image, prompt, image_2, prompt_2, reference_scale],
-                outputs=[result],
+                inputs=[input_image, prompt, image_2, prompt_2, reference_scale, prompt_embeds_scale_1, prompt_embeds_scale_2, pooled_prompt_embeds_scale_1, pooled_prompt_embeds_scale_2, seed],
+                outputs=[result, seed],
                 fn=infer,
             )