AllImageAI

SWITTI 1024 AI Image Generator

A scale-wise autoregressive transformer for fast 1024-pixel image generation and diverse sampling.

Developed by SWITTI AuthorsActiveVerified August 25, 2026

Model Version

Preview mode: placeholder output, no credits charged

Output

SWITTI 1024

A scale-wise autoregressive transformer for fast 1024-pixel image generation and diverse sampling.

BalancedUp to 1K1:116:99:164:3

Try one of these prompts

Developer
SWITTI Authors
Model
SWITTI 1024
Status
Active
Max Output
1K
Input
Text
Released
December 31, 2024
Last Verified
August 25, 2026

What Is SWITTI 1024?

SWITTI 1024 is developed by SWITTI Authors. A scale-wise autoregressive transformer for fast 1024-pixel image generation and diverse sampling. This page maps only to the named model contract, so changing inference infrastructure never changes the model advertised to the user.

What Is SWITTI 1024 Best For?

  • Autoregressive model research
  • Diverse sampling
  • Fast 1024px concepts

How to Use SWITTI 1024

  1. Describe the subject, composition, light and intended medium.
  2. Choose a native aspect ratio.
  3. Adjust only the controls this exact model exposes.
  4. Generate a draft and inspect details before publishing.

SWITTI 1024 Settings Explained

Aspect Ratio

Only ratios accepted by this exact route appear in the selector.

Credits

The displayed amount includes the selected resolution and any billable quality control.

The panel above shows only the parameters SWITTI 1024 actually supports. Switch versions and unsupported controls disappear rather than sitting there doing nothing.

SWITTI 1024 Prompt Examples

Editorial scene

Create a refined editorial image with coherent light, intentional composition and material detail, composed specifically to evaluate SWITTI 1024

Product concept

Studio product concept on a clean architectural set, realistic reflections, precise negative space, art direction suited to SWITTI 1024

SWITTI 1024 Test Results

Testing in progress

Every model runs the same eight-category prompt set — portrait, product, poster text, anime character, interior, multi-reference, image editing and character consistency — recording generation time, success rate, text accuracy and identity retention. That run has not finished for SWITTI 1024, so this page shows no scores. We do not publish numbers we have not measured.

SWITTI 1024 Limitations

  • This page exposes the verified generation contract only
  • Model-specific safety and license terms still apply
  • Shared benchmark results are still being collected

SWITTI 1024 Pricing and Credits

Credits scale with resolution and image count. The Generate button always shows what this run costs.

1K

2 credits / image

Failed generations cost 0 credits.

Commercial Use and Image Rights

Usage is governed by the model’s license and the selected service terms; review both before commercial deployment.

  • Model used: SWITTI 1024
  • Model developer: SWITTI Authors
  • The inference route is managed internally and may change without changing the selected model
  • Uploads are sent only to the configured inference service needed to complete the generation
  • You can delete any generation from your history at any time

Frequently Asked Questions

Who developed SWITTI 1024?+

SWITTI Authors is shown as the model developer; inference infrastructure is deliberately kept separate.

Can the route silently substitute another model?+

No. Paid routing requires an exact model match and an explicitly implemented request mapping.

Model Updates and Changelog

  • 2026-08-25 —— Added the exact SWITTI 1024 model page, controls, pricing and inference contract.