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Enterprise/Open-Source Models/Stable Diffusion 1.5
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Stable Diffusion 1.5 API on dedicated GPU

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.

Inputs

Prompts, masks, init images, legacy SD1.5 checkpoints and LoRAs

Outputs

Generated images and edits inside existing SD1.5-compatible pipelines

Stable Diffusion 1.5 sample output

Why teams deploy Stable Diffusion 1.5

Dedicated enterprise hosting is useful for Stable Diffusion 1.5 when the workload includes sensitive prompts, proprietary assets, internal product context, or runtime customization that does not belong on a shared public endpoint.

legacy checkpoint compatibility
mature LoRA ecosystems
private SD1.5 infrastructure

Deployment profile

Modality
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Deployment
Dedicated GPU runtime for legacy Stable Diffusion stacks
Pricing floor
$1999/month

What you can run

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Image to image
Inpainting
Legacy checkpoint workflows

Common enterprise use cases

migration bridges
checkpoint-heavy businesses
private legacy creative tooling

Why ModelsLab Enterprise fits this model

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
Enterprise Deployment

Deploy this model on dedicated GPU

Deploy Stable Diffusion 1.5 with dedicated GPUs, private data flow, code access, and S3-backed storage so your team can run production workloads without shared infrastructure tradeoffs.

100% privacy for prompts, inputs, and outputs
Code access for custom runtimes and adapters
Bring-your-own S3 for checkpoints and generated assets
Dedicated GPU throughput with no shared queue

Pricing

$1999/month

Starting price for enterprise dedicated GPU plans. Move to higher GPU tiers when you need more VRAM, throughput, or concurrency.

Related enterprise model pages

Use these related pages to compare adjacent models in the same deployment category.

Stable Diffusion sample output
ImageDedicated GPU

Stable Diffusion

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

Text to imageImage to image
Stable Diffusion XL sample output
ImageDedicated GPU

Stable Diffusion XL

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

Text to imageImage to image
Stable Diffusion 3.5 Large sample output
ImageDedicated GPU

Stable Diffusion 3.5 Large

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.

Text to imageControlled image workflows
Stable Diffusion 3.5 Medium sample output
ImageDedicated GPU

Stable Diffusion 3.5 Medium

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.

Text to imageImage-to-image pipelines
SDXL Turbo sample output
ImageDedicated GPU

SDXL Turbo

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.

Fast text to imageInteractive generation loops
FLUX.1 Dev sample output
ImageDedicated GPU

FLUX.1 Dev

FLUX.1 Dev is a strong open image generation baseline for teams that want modern prompt performance and private inference without shared platform bottlenecks.

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