Create app.py

app.py

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+import gradio as gr
+from diffusers import DiffusionPipeline
+import torch
+
+pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.float16)
+pipe.to("cuda" if torch.cuda.is_available() else "cpu")
+
+def generate_image(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+demo = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Prompt"),
+    outputs=gr.Image(type="pil"),
+    title="FLUX.1 - Schnell",
+    description="Gere imagens com o modelo FLUX.1 da Black Forest Labs"
+)
+
+demo.launch()