gradio_app.py

from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="fal-ai",
    api_key="",
)

# output is a PIL.Image object
image = client.text_to_image(
    "Astronaut riding a horse",
    model="multimodalart/isometric-skeumorphic-3d-bnb",
)

from gradio_client import Client, handle_file

client = Client("Lightricks/ltx-video-distilled")
result = client.predict(
		prompt="The creature from the image starts to move",
		negative_prompt="worst quality, inconsistent motion, blurry, jittery, distorted",
		input_image_filepath=handle_file('https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png'),
		input_video_filepath="Hello!!",
		height_ui=512,
		width_ui=704,
		mode="image-to-video",
		duration_ui=2,
		ui_frames_to_use=9,
		seed_ui=42,
		randomize_seed=True,
		ui_guidance_scale=1,
		improve_texture_flag=True,
		api_name="/image_to_video"
)
print(result)