requirements.txt

requirements.txt

@@ -0,0 +1,39 @@
+import spaces
+import torch
+import gradio as gr
+from diffusers import DiffusionPipeline
+
+MODEL = "black-forest-labs/FLUX.1-schnell"
+
+pipe = DiffusionPipeline.from_pretrained(
+    MODEL,
+    torch_dtype=torch.bfloat16
+).to("cuda")
+
+
+@spaces.GPU(duration=60)
+def generate_image(prompt):
+    image = pipe(
+        prompt=prompt,
+        guidance_scale=0.0,
+        num_inference_steps=4,
+        height=768,
+        width=768,
+        max_sequence_length=256,
+    ).images[0]
+
+    return image
+
+
+demo = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(
+        label="Image Prompt",
+        placeholder="Describe the image you want..."
+    ),
+    outputs=gr.Image(label="Generated Image"),
+    title="AI Image Generator",
+    description="Enter a prompt and generate an image."
+)
+
+demo.launch()