
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.
Deploy Dedicated GPU server to run AI models
Deploy ModelQwen Edit is a strong fit for teams that want a Qwen-branded image editing deployment with private prompt handling and dedicated enterprise infrastructure.
Inputs
Prompts, one or more input images, private enterprise assets
Outputs
Edited images, multi-reference compositions, and production-ready visual changes

Dedicated enterprise hosting is useful for Qwen Edit when the workload includes sensitive prompts, proprietary assets, internal product context, or runtime customization that does not belong on a shared public endpoint.
Deploy Qwen Edit with dedicated GPUs, private data flow, code access, and S3-backed storage so your team can run production workloads without shared infrastructure tradeoffs.
Pricing
$1999/month
Starting price for enterprise dedicated GPU plans. Move to higher GPU tiers when you need more VRAM, throughput, or concurrency.
Use these related pages to compare adjacent models in the same deployment category.

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.

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.

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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