Update app.py

app.py

@@ -1,32 +1,34 @@
 import gradio as gr
 import torch
-import modin.pandas as pd
-import numpy as np
-from diffusers import DiffusionPipeline 
+from diffusers import AutoPipelineForText2Image
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
+# Model configuration
+MODEL_ID = "stabilityai/sd-turbo"
+DEVICE = "cpu"
 
-if torch.cuda.is_available():
-    torch.cuda.max_memory_allocated(device=device)
-    torch.cuda.empty_cache()
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
-    pipe.enable_xformers_memory_efficient_attention()
-    pipe = pipe.to(device)
-    torch.cuda.empty_cache()
-else: 
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
-    pipe = pipe.to(device)
-    
-def genie (prompt, steps, seed):
-    generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
-    int_image = pipe(prompt=prompt, generator=generator, num_inference_steps=steps, guidance_scale=0.0).images[0]
-    return int_image
-    
-gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'), 
-    gr.Slider(1, maximum=5, value=2, step=1, label='Number of Iterations'), 
-    gr.Slider(minimum=0, step=1, maximum=999999999999999999, randomize=True),
-    ],
-    outputs='image', 
-    title="Stable Diffusion Turbo CPU or GPU", 
-    description="SDXL Turbo CPU or GPU. Currently running on CPU. <br><br><b>WARNING: This model is capable of producing NSFW (Softcore) images.</b>", 
-    article = "If You Enjoyed this Demo and would like to Donate, you can send to any of these Wallets. <br>BTC: bc1qzdm9j73mj8ucwwtsjx4x4ylyfvr6kp7svzjn84 <br>3LWRoKYx6bCLnUrKEdnPo3FCSPQUSFDjFP <br>DOGE: DK6LRc4gfefdCTRk9xPD239N31jh9GjKez <br>SHIB (BEP20): 0xbE8f2f3B71DFEB84E5F7E3aae1909d60658aB891 <br>PayPal: https://www.paypal.me/ManjushriBodhisattva <br>ETH: 0xbE8f2f3B71DFEB84E5F7E3aae1909d60658aB891 <br>Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True, max_threads=80)
+pipe = AutoPipelineForText2Image.from_pretrained(
+    MODEL_ID,
+    torch_dtype=torch.float32,
+)
+pipe.to(DEVICE)
+
+def generate_image(prompt: str):
+    if not prompt.strip():
+        return None
+    result = pipe(
+        prompt,
+        num_inference_steps=4,   # Fast rendering
+        guidance_scale=0.0,      # More realistic, less overexposed
+    )
+    return result.images[0]
+
+demo = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Enter your image prompt"),
+    outputs=gr.Image(label="Generated Image"),
+    title="Freeverse AI Studio 🎨",
+    description="Generate ultra-realistic AI images using Stable Diffusion Turbo (Freeverse AI).",
+)
+
+if __name__ == "__main__":
+    demo.launch()