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Model facts & API quick start
imageclassic is served on Chutes inside a Trusted Execution Environment (TEE). Call it at https://vonkaiser-imageclassic.chutes.ai/generate with a Chutes API key.
imageclassic at a glance
- Model ID
imageclassic- Deployed by
- vonkaiser
- Type
- Image
- Compute price
- $2.25 per hour
- Modalities
- text in → image out
- Confidential compute (TEE)
- Yes, runs in a Trusted Execution Environment
- Architecture
- Four independent text-to-image pipelines on one chute: FLUX.1-schnell (rectified-flow transformer) plus three Stable Diffusion XL checkpoints
- License
- Per bundled model: FLUX.1-schnell Apache-2.0; Dreamshaper XL 1.0 CreativeML OpenRAIL++; iLustMix v80 Fair AI Public License 1.0-SD; Juggernaut XL Ragnarok license not verified
- FLUX.1-schnell
- 12B rectified-flow transformer (per chute readme), 1-4 step generation, no negative prompt; model: flux, POST /image/flux
- Dreamshaper XL 1.0
- SDXL fine-tune by Lykon for general-purpose generation; model: dreamshaper, POST /image/dreamshaper
- iLustMix v80
- Illustrious-XL-based (SDXL family) anime/semi-realistic checkpoint by GZees; model: ilustmix, POST /image/ilustmix
- Juggernaut XL Ragnarok
- RunDiffusion photorealistic SDXL checkpoint; model: juggernaut, POST /image/juggernaut
- Output format on Chutes
- image/jpeg (quality 85), all endpoints
API quick start
- Base URL
https://vonkaiser-imageclassic.chutes.ai- Endpoint
POST /generate- Auth header
Authorization: Bearer $CHUTES_API_KEY
curl -X POST "https://vonkaiser-imageclassic.chutes.ai/generate" \
-H "Authorization: Bearer $CHUTES_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"seed": 42,
"model": "flux",
"width": 1024,
"height": 1024,
"prompt": "a serene mountain lake at sunset",
"negative_prompt": ""
}' \
--output output.jpgimageclassic FAQ
How do I pick which model handles my request?
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.
Which model should I use for what?
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.
Do negative prompts work on all four models?
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.
What are the default steps and guidance per model?
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.
What licenses cover the bundled models?
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.
What format do I get back?
Every endpoint returns raw image/jpeg bytes at quality 85, not JSON. Save the response body directly as a .jpg file.
Is there a cold start when switching models?
No. All four pipelines load when the chute starts, so switching the model field between requests does not trigger a reload or redeploy.
Can I do image-to-image or editing with this chute?
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.