
Nano Banana Pretrained Lite
Nano Banana Pretrained Lite is a prominent, lightweight image generation model for teams seeking fast, unlimited Nano Banana-style generations on private infrastructure.
SD 1.5 still matters for legacy fine-tunes, mature community checkpoints, and teams that have existing prompt libraries they do not want to migrate yet.

Teams choose dedicated infrastructure for Stable Diffusion 1.5 when they need complete control over performance, security, runtime configuration, and production-scale reliability.
legacy checkpoint compatibility
mature LoRA ecosystems
private SD1.5 infrastructure
Modality
Image
Deployment
Dedicated GPU runtime for legacy Stable Diffusion stacks
Inputs
Prompts, masks, init images, legacy SD1.5 checkpoints and LoRAs
Outputs
Generated images and edits inside existing SD1.5-compatible pipelines
Production-quality outputs generated with Stable Diffusion 1.5 running on dedicated GPU infrastructure.

Stable Diffusion 1.5 sample output

Stable Diffusion 1.5 sample output

Stable Diffusion 1.5 sample output

Stable Diffusion 1.5 sample output

Stable Diffusion 1.5 sample output

Stable Diffusion 1.5 sample output

Stable Diffusion 1.5 sample output
Text to image
Image to image
Inpainting
Legacy checkpoint workflows
migration bridges
checkpoint-heavy businesses
private legacy creative tooling
Dedicated GPU deployment with no shared queue contention
100% private workloads, prompts, and generated outputs
Code access for custom runtimes, adapters, and optimization
Bring-your-own S3 storage for assets, checkpoints, and outputs
Get Stable Diffusion 1.5 running on a GPU dedicated to your team — with private data flow, full code access, and S3-backed storage for production workloads.
Starting at
$249/month
Scale to higher GPU tiers when you need more VRAM, throughput, or concurrency.
Explore similar deployment-ready models for your workflows.

Nano Banana Pretrained Lite is a prominent, lightweight image generation model for teams seeking fast, unlimited Nano Banana-style generations on private infrastructure.

Stable Diffusion is still the broadest open image generation family for teams that want checkpoint flexibility, custom fine-tunes, adapters, and private asset pipelines.

SDXL is the default open model choice for teams that want strong prompt adherence and broad ecosystem support without giving up deployment control.

Stable Diffusion 3.5 Large is positioned for higher-quality image generation teams that want a modern Stable Diffusion stack on infrastructure they fully control.

Stable Diffusion 3.5 Medium is a lighter entry point for teams that want newer Stable Diffusion quality with more practical dedicated GPU cost envelopes.

SDXL Turbo is useful when speed matters more than maximal quality and teams want a fast, private image generation runtime on their own dedicated GPU envelope.
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