Shuttle 3 Diffusion

Shuttle 3 Diffusion is a text-to-image generation model designed to create detailed and diverse images in just four steps. It offers enhanced image quality, understanding of complex prompts, efficient resource usage, and increased detail.

Key features:

  • Built on the Flux.1 Schnell architecture, it has been partially de-distilled and trained using specialized methods to improve detail and color reproduction compared to earlier Schnell series models.
  • Refiner mode, activated when using more than 10 generation steps, enhances image details without altering the composition.
  • Licensed under Apache 2.0, making it more liberal than models like Flux Dev.

Example text prompts showcasing the model’s capabilities:

  • “Venerian floating market at dawn, fantasy digital artwork, high detail…”
  • “Quiet forest, sunlight piercing through tree canopies, mysterious dark-red-toned lake…”
  • “Night jungle waterfall with a blue tint, shimmering fireflies, photographic realism…”

Announce Date: 12.11.2024
Parameters: 12B
VRAM requirements: 8.1 GB using 4 bits quantization, 16.2 GB using 8 bits quantization, 32.4 GB using 16 bits quantization
Developer: ShuttleAI
License: Apache 2.0

Public endpoint

Use our pre-built public endpoints for free to test inference and explore Shuttle 3 Diffusion capabilities. You can obtain an API access token on the token management page after registration and verification.
Model Name Context Type GPU TPS Status Link
There are no public endpoints for this model yet.

Private server

Rent your own physically dedicated instance with hourly or long-term monthly billing.

We recommend deploying private instances in the following scenarios:

  • maximize endpoint performance,
  • enable full context for long sequences,
  • ensure top-tier security for data processing in an isolated, dedicated environment,
  • use custom weights, such as fine-tuned models or LoRA adapters.

Recommended configurations for hosting Shuttle 3 Diffusion

Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
teslat4-1.16.16.160 16 16384 160 1 $0.33 Launch
rtx2080ti-1.10.16.500 10 16384 500 1 $0.38 Launch
teslaa2-1.16.32.160 16 32768 160 1 $0.38 Launch
teslaa10-1.16.32.160 16 32768 160 1 $0.53 Launch
rtx3080-1.16.32.160 16 32768 160 1 $0.57 Launch
rtx3090-1.16.24.160 16 24576 160 1 $0.88 Launch
rtx4090-1.16.32.160 16 32768 160 1 $1.15 Launch
teslav100-1.12.64.160 12 65536 160 1 $1.20 Launch
rtxa5000-2.16.64.160.nvlink 16 65536 160 2 $1.23 Launch
rtx5090-1.16.64.160 16 65536 160 1 $1.59 Launch
teslaa100-1.16.64.160 16 65536 160 1 $2.58 Launch
teslah100-1.16.64.160 16 65536 160 1 $5.11 Launch
h200-1.16.128.160 16 131072 160 1 $6.98 Launch
Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
teslat4-1.16.16.160 16 16384 160 1 $0.33 Launch
teslaa2-1.16.32.160 16 32768 160 1 $0.38 Launch
teslaa10-1.16.32.160 16 32768 160 1 $0.53 Launch
rtx2080ti-2.12.64.160 12 65536 160 2 $0.69 Launch
rtx3090-1.16.24.160 16 24576 160 1 $0.88 Launch
rtx3080-2.16.32.160 16 32762 160 2 $0.97 Launch
rtx4090-1.16.32.160 16 32768 160 1 $1.15 Launch
teslav100-1.12.64.160 12 65536 160 1 $1.20 Launch
rtxa5000-2.16.64.160.nvlink 16 65536 160 2 $1.23 Launch
rtx5090-1.16.64.160 16 65536 160 1 $1.59 Launch
teslaa100-1.16.64.160 16 65536 160 1 $2.58 Launch
teslah100-1.16.64.160 16 65536 160 1 $5.11 Launch
h200-1.16.128.160 16 131072 160 1 $6.98 Launch
Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
teslat4-3.32.64.160 32 65536 160 3 $0.88 Launch
teslaa10-2.16.64.160 16 65536 160 2 $0.93 Launch
teslaa2-3.32.128.160 32 131072 160 3 $1.06 Launch
rtx2080ti-4.16.64.160 16 65536 160 4 $1.18 Launch
rtxa5000-2.16.64.160.nvlink 16 65536 160 2 $1.23 Launch
rtx3090-2.16.64.160 16 65536 160 2 $1.67 Launch
rtx4090-2.16.64.160 16 65536 160 2 $2.19 Launch
teslav100-2.16.64.240 16 65535 240 2 $2.22 Launch
teslaa100-1.16.64.160 16 65536 160 1 $2.58 Launch
rtx5090-2.16.64.160 16 65536 160 2 $2.93 Launch
teslah100-1.16.64.160 16 65536 160 1 $5.11 Launch
h200-1.16.128.160 16 131072 160 1 $6.98 Launch

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Need help?

Contact our dedicated neural networks support team at nn@immers.cloud or send your request to the sales department at sale@immers.cloud.