Create Mio generatore

Mio generatore

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+import spaces
+import gradio as gr
+import torch
+from ltx_video import LTXVideoPipeline # o il suo import originale
+
+# Carica il modello una volta sola all'avvio
+pipe = None
+def load_model():
+    global pipe
+    if pipe is None:
+        pipe = LTXVideoPipeline.from_pretrained("Lightricks/LTX-2.3", torch_dtype=torch.bfloat16)
+        pipe.to("cuda")
+    return pipe
+
+# --- QUESTI SONO I DECORATORI FONDAMENTALI PER ZEROGPU ---
+@spaces.GPU(duration=120)
+def generate_t2v(prompt, num_frames=49, resolution=512, steps=20):
+    model = load_model()
+    video = model(prompt=prompt, num_frames=num_frames, height=resolution, width=resolution, num_inference_steps=steps).frames[0]
+    return video
+
+@spaces.GPU(duration=120)
+def generate_i2v(image, prompt, num_frames=49, resolution=512, steps=20):
+    model = load_model()
+    video = model(image=image, prompt=prompt, num_frames=num_frames, height=resolution, width=resolution, num_inference_steps=steps).frames[0]
+    return video
+
+@spaces.GPU(duration=120)
+def generate_style(image_style, prompt):
+    model = load_model()
+    # logica style del suo Space originale
+    return model(prompt=prompt, style_image=image_style).frames[0]
+
+# UI - identica all'originale ma ottimizzata
+with gr.Blocks(title="LTX 2.3 Studio - ZeroGPU Edition") as app:
+    gr.Markdown("# LTX 2.3 Studio - TUA VERSIONE ZEROGPU (Free)")
+    with gr.Tab("Text to Video"):
+        p = gr.Textbox(label="Prompt")
+        out = gr.Video(label="Output")
+        btn = gr.Button("Genera (attesa 1-3 min se coda piena)")
+        btn.click(generate_t2v, inputs=[p], outputs=[out])
+
+    with gr.Tab("Image to Video"):
+        img = gr.Image(type="pil", label="Immagine")
+        p2 = gr.Textbox(label="Prompt")
+        out2 = gr.Video(label="Output")
+        btn2 = gr.Button("Genera")
+        btn2.click(generate_i2v, inputs=[img, p2], outputs=)
+
+app.launch()