Black Forest Labs: FLUX.2 Klein 4B
Originblack-forest-labs/flux.2-klein-4bFLUX.2 [klein] 4B is the fastest and most cost-effective model in the FLUX.2 family, optimized for high-throughput use cases while maintaining excellent image quality. Pricing is based on the output...
Billing follows the provider's own reported cost. The unit prices here are for reference; a model marked "billed at actual usage" has no reliable pre-call price, so your usage page is the record of what you paid.
Capabilities
Call it
Image models are served on POST /v1/images/generations. Pictures come back as inline base64 (data[].b64_json), never as URLs — the upstream provides none, so response_format: "url" is answered with a 400. Up to 3 images per request; streaming is not supported in this release.
curl https://macdecloud.com/v1/images/generations \
-H "Authorization: Bearer dcld-sk-..." \
-H "Content-Type: application/json" \
-d '{"model":"black-forest-labs/flux.2-klein-4b","prompt":"a red panda reading a book","n":1,"resolution":"2K"}'Python (OpenAI SDK)
Decode the returned base64 and write it to a file. This image-only client sets max_retries=0 to prevent automatic resubmission on failure. Keep the request ID and check the generation result and bill before deciding whether to retry.
import base64
from openai import OpenAI
client = OpenAI(base_url="https://macdecloud.com/v1", api_key="dcld-sk-...", max_retries=0)
resp = client.images.generate(model="black-forest-labs/flux.2-klein-4b", prompt="a red panda reading a book", n=1)
with open("image.png", "wb") as f:
f.write(base64.b64decode(resp.data[0].b64_json))