Inference Providers documentation
WaveSpeed
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.
Language
Client
Provider
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="black-forest-labs/FLUX.2-dev",
)Text To Image
Find out more about Text To Image here.
Language
Provider
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="Tongyi-MAI/Z-Image-Turbo",
)Text To Video
Find out more about Text To Video here.
Language
Provider
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",
)