Question 1

How do I pick which model handles my request?

Accepted Answer

Either set the required model field on POST /generate to flux, dreamshaper, ilustmix, or juggernaut, or call the model-specific endpoint directly (POST /image/flux and so on). The per-model endpoints carry the correct defaults for that checkpoint.

Question 2

Which model should I use for what?

Accepted Answer

flux for fast, high-quality images from simple prompts (1-4 steps); dreamshaper for general-purpose portraits, fantasy, and sci-fi; ilustmix for anime and semi-realistic illustration; juggernaut for photography-style realism. Drafting on flux and finishing on an SDXL checkpoint is a common pattern.

Question 3

Do negative prompts work on all four models?

Accepted Answer

No. negative_prompt applies to the three SDXL checkpoints (dreamshaper, ilustmix, juggernaut) and is ignored for flux. FLUX.1-schnell is distilled for guidance-light sampling, so express exclusions in the positive prompt instead.

Question 4

What are the default steps and guidance per model?

Accepted Answer

flux: 4 steps, guidance 3.5. The SDXL checkpoints: 25 steps, guidance 7.5. On the unified /generate endpoint, omitted guidance_scale and num_inference_steps fall back to these per-family defaults automatically.

Question 5

What licenses cover the bundled models?

Accepted Answer

FLUX.1-schnell is Apache-2.0. Dreamshaper XL 1.0 is CreativeML OpenRAIL++ (commercial use allowed with use-based restrictions). iLustMix v80 is under the Fair AI Public License 1.0-SD. A license for the Juggernaut XL Ragnarok checkpoint could not be verified from its Hugging Face mirror; check RunDiffusion's terms before commercial use.

Question 6

What format do I get back?

Accepted Answer

Every endpoint returns raw image/jpeg bytes at quality 85, not JSON. Save the response body directly as a .jpg file.

Question 7

Is there a cold start when switching models?

Accepted Answer

No. All four pipelines load when the chute starts, so switching the model field between requests does not trigger a reload or redeploy.

Question 8

Can I do image-to-image or editing with this chute?

Accepted Answer

No, all endpoints are text-to-image only with no image input fields. For instruction-based editing use a dedicated edit chute such as Qwen-Image-Edit-2511.

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