Stable Diffusion XL-Turbo

SDXL-Turbo is a distilled version of SDXL 1.0, trained for real-time synthesis. SDXL-Turbo is based on a novel training method called Adversarial Diffusion Distillation (ADD), which allows sampling large-scale foundational image diffusion models in 1 to 4 steps at high image quality. This approach uses score distillation to leverage large-scale off-the-shelf image diffusion models as a teacher signal and combines this with an adversarial loss to ensure high image fidelity even in the low-step regime of one or two sampling steps.


Announce Date: 27.11.2023
Parameters: 3.5B
Context: 77
VRAM requirements: 1.9 GB using 4 bits quantization, 3.8 GB using 8 bits quantization, 7.6 GB using 16 bits quantization
Developer: Stability AI
License: Sai nc Community

Public endpoint

Use our pre-built public endpoints for free to test inference and explore Stable Diffusion XL-Turbo 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 Stable Diffusion XL-Turbo

Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
teslat4-1.16.16.160
77.0
16 16384 160 1 $0.33 Launch
rtx2080ti-1.10.16.500
77.0
10 16384 500 1 $0.38 Launch
teslaa2-1.16.32.160
77.0
16 32768 160 1 $0.38 Launch
teslaa10-1.16.32.160
77.0
16 32768 160 1 $0.53 Launch
rtx3080-1.16.32.160
77.0
16 32768 160 1 $0.57 Launch
rtx3090-1.16.24.160
77.0
16 24576 160 1 $0.88 Launch
rtx4090-1.16.32.160
77.0
16 32768 160 1 $1.15 Launch
teslav100-1.12.64.160
77.0
12 65536 160 1 $1.20 Launch
rtxa5000-2.16.64.160.nvlink
77.0
16 65536 160 2 $1.23 Launch
rtx5090-1.16.64.160
77.0
16 65536 160 1 $1.59 Launch
teslaa100-1.16.64.160
77.0
16 65536 160 1 $2.58 Launch
teslah100-1.16.64.160
77.0
16 65536 160 1 $5.11 Launch
h200-1.16.128.160
77.0
16 131072 160 1 $6.98 Launch
Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
teslat4-1.16.16.160
77.0
16 16384 160 1 $0.33 Launch
rtx2080ti-1.10.16.500
77.0
10 16384 500 1 $0.38 Launch
teslaa2-1.16.32.160
77.0
16 32768 160 1 $0.38 Launch
teslaa10-1.16.32.160
77.0
16 32768 160 1 $0.53 Launch
rtx3080-1.16.32.160
77.0
16 32768 160 1 $0.57 Launch
rtx3090-1.16.24.160
77.0
16 24576 160 1 $0.88 Launch
rtx4090-1.16.32.160
77.0
16 32768 160 1 $1.15 Launch
teslav100-1.12.64.160
77.0
12 65536 160 1 $1.20 Launch
rtxa5000-2.16.64.160.nvlink
77.0
16 65536 160 2 $1.23 Launch
rtx5090-1.16.64.160
77.0
16 65536 160 1 $1.59 Launch
teslaa100-1.16.64.160
77.0
16 65536 160 1 $2.58 Launch
teslah100-1.16.64.160
77.0
16 65536 160 1 $5.11 Launch
h200-1.16.128.160
77.0
16 131072 160 1 $6.98 Launch
Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
teslat4-1.16.16.160
77.0
16 16384 160 1 $0.33 Launch
rtx2080ti-1.10.16.500
77.0
10 16384 500 1 $0.38 Launch
teslaa2-1.16.32.160
77.0
16 32768 160 1 $0.38 Launch
teslaa10-1.16.32.160
77.0
16 32768 160 1 $0.53 Launch
rtx3080-1.16.32.160
77.0
16 32768 160 1 $0.57 Launch
rtx3090-1.16.24.160
77.0
16 24576 160 1 $0.88 Launch
rtx4090-1.16.32.160
77.0
16 32768 160 1 $1.15 Launch
teslav100-1.12.64.160
77.0
12 65536 160 1 $1.20 Launch
rtxa5000-2.16.64.160.nvlink
77.0
16 65536 160 2 $1.23 Launch
rtx5090-1.16.64.160
77.0
16 65536 160 1 $1.59 Launch
teslaa100-1.16.64.160
77.0
16 65536 160 1 $2.58 Launch
teslah100-1.16.64.160
77.0
16 65536 160 1 $5.11 Launch
h200-1.16.128.160
77.0
16 131072 160 1 $6.98 Launch

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