Update app.py

app.py

@@ -3,8 +3,8 @@ import numpy as np
 import random
 import spaces
 import torch
-from diffusers import DiffusionPipeline, FlowMatchEulerDiscreteScheduler, AutoencoderTiny, AutoencoderKL
-from transformers import CLIPTextModel, CLIPTokenizer, T5EncoderModel, T5TokenizerFast
+from diffusers import  DiffusionPipeline, FlowMatchEulerDiscreteScheduler, AutoencoderTiny, AutoencoderKL
+from transformers import CLIPTextModel, CLIPTokenizer,T5EncoderModel, T5TokenizerFast
 from live_preview_helpers import calculate_shift, retrieve_timesteps, flux_pipe_call_that_returns_an_iterable_of_images
 
 dtype = torch.bfloat16
@@ -20,8 +20,6 @@ MAX_IMAGE_SIZE = 2048
 
 pipe.flux_pipe_call_that_returns_an_iterable_of_images = flux_pipe_call_that_returns_an_iterable_of_images.__get__(pipe)
 
-history = []
-
 @spaces.GPU(duration=75)
 def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=3.5, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
     if randomize_seed:
@@ -38,16 +36,15 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidan
             output_type="pil",
             good_vae=good_vae,
         ):
-            history.append((img, prompt, seed, width, height, guidance_scale, num_inference_steps))
             yield img, seed
-
+    
 examples = [
     "a tiny astronaut hatching from an egg on the moon",
     "a cat holding a sign that says hello world",
     "an anime illustration of a wiener schnitzel",
 ]
 
-css = """
+css="""
 #col-container {
     margin: 0 auto;
     max-width: 520px;
@@ -63,6 +60,7 @@ with gr.Blocks(css=css) as demo:
         """)
         
         with gr.Row():
+            
             prompt = gr.Text(
                 label="Prompt",
                 show_label=False,
@@ -70,11 +68,13 @@ with gr.Blocks(css=css) as demo:
                 placeholder="Enter your prompt",
                 container=False,
             )
+            
             run_button = gr.Button("Run", scale=0)
         
         result = gr.Image(label="Result", show_label=False)
         
         with gr.Accordion("Advanced Settings", open=False):
+            
             seed = gr.Slider(
                 label="Seed",
                 minimum=0,
@@ -82,9 +82,11 @@ with gr.Blocks(css=css) as demo:
                 step=1,
                 value=0,
             )
+            
             randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
             
             with gr.Row():
+                
                 width = gr.Slider(
                     label="Width",
                     minimum=256,
@@ -92,6 +94,7 @@ with gr.Blocks(css=css) as demo:
                     step=32,
                     value=1024,
                 )
+                
                 height = gr.Slider(
                     label="Height",
                     minimum=256,
@@ -101,6 +104,7 @@ with gr.Blocks(css=css) as demo:
                 )
             
             with gr.Row():
+
                 guidance_scale = gr.Slider(
                     label="Guidance Scale",
                     minimum=1,
@@ -108,6 +112,7 @@ with gr.Blocks(css=css) as demo:
                     step=0.1,
                     value=3.5,
                 )
+  
                 num_inference_steps = gr.Slider(
                     label="Number of inference steps",
                     minimum=1,
@@ -117,26 +122,18 @@ with gr.Blocks(css=css) as demo:
                 )
         
         gr.Examples(
-            examples=examples,
-            fn=infer,
-            inputs=[prompt],
-            outputs=[result, seed],
+            examples = examples,
+            fn = infer,
+            inputs = [prompt],
+            outputs = [result, seed],
             cache_examples="lazy"
         )
 
-        def show_history():
-            return [(img, f"Prompt: {p}, Seed: {s}, Width: {w}, Height: {h}, Guidance Scale: {g}, Steps: {n}") for img, p, s, w, h, g, n in history]
-
-        history_button = gr.Button("Show History")
-        history_gallery = gr.Gallery(label="History").scale(2)
-        
-        history_button.click(fn=show_history, inputs=[], outputs=[history_gallery])
-
     gr.on(
         triggers=[run_button.click, prompt.submit],
-        fn=infer,
-        inputs=[prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
-        outputs=[result, seed]
+        fn = infer,
+        inputs = [prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
+        outputs = [result, seed]
     )
 
-demo.launch()
+demo.launch()