WaveSpeed

All supported WaveSpeed models can be found here

WaveSpeedAI is a high-performance AI inference platform specializing in image and video generation. Built with cutting-edge infrastructure and optimization techniques, WaveSpeedAI provides fast, scalable, and cost-effective model serving for creative AI applications.

Supported tasks

Image To Image

Find out more about Image To Image here.

import os
from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="wavespeed",
    api_key=os.environ["HF_TOKEN"],
)

with open("cat.png", "rb") as image_file:
   input_image = image_file.read()

# output is a PIL.Image object
image = client.image_to_image(
    input_image,
    prompt="Turn the cat into a tiger.",
    model="Qwen/Qwen-Image-Edit",
)

Text To Image

Find out more about Text To Image here.

import os
from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="wavespeed",
    api_key=os.environ["HF_TOKEN"],
)

# output is a PIL.Image object
image = client.text_to_image(
    "Astronaut riding a horse",
    model="black-forest-labs/FLUX.1-dev",
)

Text To Video

Find out more about Text To Video here.

import os
from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="wavespeed",
    api_key=os.environ["HF_TOKEN"],
)

video = client.text_to_video(
    "A young man walking on the street",
    model="Wan-AI/Wan2.2-TI2V-5B",
)
Update on GitHub