Update app.py

app.py

@@ -6,10 +6,13 @@ import random
 import time
 from PIL import Image
 from diffusers import DiffusionPipeline, FlowMatchEulerDiscreteScheduler, FluxTransformer2DModel
-from transformers import CLIPTextModel, CLIPTokenizer, T5EncoderModel, T5TokenizerFast
+from transformers import CLIPTextModel, CLIPTokenizer, T5EncoderModel, T5TokenizerFast, AutoProcessor, pipeline
 from huggingface_hub import hf_hub_download
 from gradio_client import Client, handle_file
 import os
+import subprocess
+
+subprocess.run('pip install flash-attn --no-build-isolation', env={'FLASH_ATTENTION_SKIP_CUDA_BUILD': "TRUE"}, shell=True)
 
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -24,9 +27,9 @@ if not hf_token:
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048
 
-pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16, token=hf_token).to(device)
+pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16, revision="refs/pr/1", token=hf_token).to(device)
 
-@spaces.GPU()
+@spaces.GPU(duration=60)
 def infer(prompt, seed=0, randomize_seed=True, width=640, height=1024, guidance_scale=0.0, num_inference_steps=5, lora_model="AlekseyCalvin/RCA_Agitprop_Manufactory", progress=gr.Progress(track_tqdm=True)):
     global pipe
     
@@ -55,18 +58,39 @@ def infer(prompt, seed=0, randomize_seed=True, width=640, height=1024, guidance_
         if lora_model:
             pipe.unload_lora_weights()
         
-        return image, seed, "Image generated successfully."
+        return image, prompt, seed, "Image generated successfully."
     except Exception as e:
         return None, seed, f"Error during image generation: {str(e)}"
 
     
-    return image, seed
+    return image, prompt, seed
 
 
 examples = [
     "RCA style communist party poster with the words Ready for REVOLUTION? in large black consistent constructivist font alongside a red Soviet hammer and a red Soviet sickle over the background of planet earth, over the North American continent",
 ]
 
+custom_css = """
+#col-container {
+    margin: 0 auto;
+    max-width: 520px; 
+}
+.input-group, .output-group {
+    border: 1px solid #eb3109;
+    border-radius: 10px;
+    padding: 20px;
+    margin-bottom: 20px;
+    background-color: #f9f9f9;
+}
+.submit-btn {
+    background-color: #2980b9 !important;
+    color: white !important;
+}
+.submit-btn:hover {
+    background-color: #3498db !important;
+}
+"""
+
 css="""
 #col-container {
     margin: 0 auto;
@@ -74,7 +98,8 @@ css="""
 }
 """
 
-with gr.Blocks(css=css) as demo:
+with gr.Blocks(css=custom_css, theme=gr.themes.Soft(primary_hue="red", secondary_hue="gray")) as demo:
+    gr.HTML(title)
     
     with gr.Column(elem_id="col-container"):
         gr.Markdown(f"""# RCA Agitprop Manufactory: pre-phrase prompts with 'RCA style' to activate custom model """)
@@ -84,14 +109,14 @@ with gr.Blocks(css=css) as demo:
             prompt = gr.Text(
                 label="Prompt",
                 show_label=False,
-                max_lines=3,
+                max_lines=2,
                 placeholder="RCA style communist poster of ",
                 container=False,
             )
             
             run_button = gr.Button("Run", scale=0)
         
-        result = gr.Image(label="Result", show_label=False)
+        output_image = gr.Image(label="Result", elem_id="gallery", show_label=False)
         
         with gr.Accordion("Advanced Settings", open=True):
             
@@ -112,7 +137,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1360,
+                    value=640,
                 )
                 
                 height = gr.Slider(
@@ -120,7 +145,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1360,
+                    value=1024,
                 )
             
             with gr.Row():
@@ -131,14 +156,14 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=50,
                     step=1,
-                    value=4,
+                    value=5,
                 )
         
         gr.Examples(
             examples = examples,
             fn = infer,
             inputs = [prompt],
-            outputs = [result, seed],
+            outputs = [output_image, seed],
             cache_examples="lazy"
         )
 
@@ -146,7 +171,7 @@ with gr.Blocks(css=css) as demo:
         triggers=[run_button.click, prompt.submit],
         fn = infer,
         inputs = [prompt, seed, randomize_seed, width, height, num_inference_steps],
-        outputs = [result, seed]
+        outputs = [output_image, seed]
     )
 
-demo.launch()
+demo.launch(debug=True)