Stable Diffusion WebUI

A web interface for generating images using Stable Diffusion

Also known as
stable-diffusion-webui

Available worldwide

What is Stable Diffusion WebUI?

A browser-based tool that creates images from text prompts using the Stable Diffusion model. It includes features for image refinement, upscaling, inpainting, and customization through user-trained models like LoRA and embeddings.

Independently observed

Stable Diffusion WebUI pricing

We don't have Stable Diffusion WebUI's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

Pricing as of verify at live pricing ↗Independently observed
FreeFree tier

Free and open-source

What Stable Diffusion WebUI does

The capabilities that matter for ai image generation, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Capabilities
Deployment model
Local GPU instance
Text to image prompting
✓
Image to image seed referencing
✓
Inpainting and outpainting masking
✓
Negative prompt and weight exclusion
✓
Pose control and structure mapping controlnet
-
AI automated resolution upscaling
✓
Custom model training and lora finetuning
✓
Commercial usage rights granted
-
Enterprise ip indemnification protection
-
SOC2 type ii
-
ISO 27001
-
Pricing model
Free open weights
Independently observed

Platform & deployment

Independently observed
Platforms
  • Web
  • Linux
  • Windows
Deployment
  • Self-hosted

Integrations (1)

Independently observed
  • DeepDanbooru•

Security & compliance

Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality

Stable Diffusion WebUI FAQ

Common questions about Stable Diffusion WebUI, answered from independent, dated evidence.

What is Stable Diffusion WebUI?

An open-source web application built with Gradio that provides access to Stable Diffusion's image generation capabilities, including text-to-image, image-to-image, inpainting, and support for fine-tuned models like LoRA and Textual Inversion. It is indexed under AI Image Generation.

Source: https://github.com/pricing

Is Stable Diffusion WebUI free to use?

Stable Diffusion WebUI is open source, so it can be self-hosted and used at no licence cost. It is released under the AGPL-3.0 licence. Pricing changes often, so verify at source before relying on it.

Source: https://github.com/pricing

What platforms does Stable Diffusion WebUI support?

Stable Diffusion WebUI supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.

Source: https://github.com/pricing

Can Stable Diffusion WebUI be self-hosted?

Yes. Stable Diffusion WebUI can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.

Source: https://github.com/pricing

Is Stable Diffusion WebUI open source?

Yes. Stable Diffusion WebUI is published under the AGPL-3.0 licence, a copyleft licence, so check its terms before embedding it in a closed-source product. Licence terms can change between releases, so verify against the repository for the version you intend to use.

Source: https://github.com/AUTOMATIC1111/stable-diffusion-webui

Stable Diffusion WebUI alternatives

Other ai image generation we track, ranked by the same independent score.

All Stable Diffusion WebUI alternatives, ranked →

Compare Stable Diffusion WebUI

Side by side against other ai image generation, attribute by attribute, with a source on every value.

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Stable Diffusion WebUI, not the verdict.

Balanced composite 42 / 100
low · 33%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Capabilities810.075.7✓
Release cadence910.054.7✓
Stars980.032.6✓
Integrations90.080.7✓
Dependent projects00.060.0✓
Development activity00.090.0✓
Security posture00.060.0-
Package downloads00.140.0-
Security score00.040.0-
Developer Q&A activity00.060.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

AttributeValueEvidence
Commits last 30d0mediumsource · 2026-10-14 · 65%

Adoption

AttributeValueEvidence
Github stars165,049highsource · 2026-10-14 · 90%
Dependent repos0highsource · 2026-10-14 · 85%

Content

AttributeValueEvidence
Faq5 itemsmediumsource · 2026-09-10 · 67%

Features

AttributeValueEvidence
CapabilitiesPricing model: free_open_weights · Deployment model: local_gpu_instance · Text to image prompting: Yes · Image to image seed referencing: Yes · Ai automated resolution upscaling: Yes · Inpainting and outpainting masking: Yesmediumsource · 2026-10-14 · 60%

Integrations

AttributeValueEvidence
Count1mediumsource · 2026-10-14 · 60%

Language

AttributeValueEvidence
PrimaryPythonhighsource · 2026-10-14 · 90%

License

AttributeValueEvidence
SpdxAGPL-3.0highsource · 2026-10-14 · 95%

Market

AttributeValueEvidence
AvailabilityPrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: …highsource · 2026-10-14 · 75%

Pricing

AttributeValueEvidence
Price levelfreemediumsource · 2026-10-14 · 60%
Modelfreemediumsource · 2026-10-14 · 60%
Free tierYesmediumsource · 2026-10-14 · 60%
TransparentYesmediumsource · 2026-10-14 · 60%

Release

AttributeValueEvidence
Cadence days17mediumsource · 2026-10-14 · 70%
History20 itemsmediumsource · 2026-10-14 · 70%

Security

AttributeValueEvidence
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=fsdsfbhgfjghjhg&per_page=100 · Last 12m: 0highsource · 2026-10-14 · 90%
Trust centerhttps://github.com/securitymediumsource · 2026-10-14 · 60%
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