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SPECIFICTION
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Recraft vs SD.Next

Recraft

recraft.ai

SD.Next

github.com

Side by side

FigureRecraftSD.Next
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
iOSYes—
AndroidYes—
APIYesYes
Self-hosted—Yes
Plans published91
Spec score · AI image generators9.5 (#1)8.9 (#13)
API accessYesYes
Image editingAvailable editing operations include image-to-image changes, inpainting, outpainting, erasing regions, background removal and background replacement.Yes
Output formatsSVG,PNG,JPG,PDF,TIFF,LottiePNG,JPG
Reference imagesYesYes
Text-to-imageYesYes

Plans

Recraft

  • FreeFree
  • Pro 2kPrice not published
  • Pro 4kPrice not published
  • Pro 8kPrice not published
  • FreeFree
  • API V4.1 Flash$0.01, paid once
  • Basic$12 a month
  • Teams$18 a month
  • Pro$20 a month

Recraft pricing →

SD.Next

  • SD.NextFree

SD.Next pricing →

In their own words

Recraft

Recraft provides text-to-image generation, reference image support and image editing, with output in SVG, PNG, JPG, PDF, TIFF and Lottie formats. API access is available, and API is the listed platform. Its free plan includes 30 daily credits. Monthly AI credits are listed as 1,000 credits per month, alongside the plan-specific credit amounts. Commercial use is limited. Recraft was founded in 2022 and is headquartered in London, United Kingdom. The free plan offers a way to use the product without a listed subscription price, while the named tiers specify progressively larger credit totals. The combination of image generation, editing, references and multiple export formats may be relevant to people creating or modifying visual assets, including those who need vector and raster outputs.

Visit recraft.ai

SD.Next

SD.Next is an open-source server application and web interface for generating, editing, captioning, upscaling and processing AI images and videos. Workflows include text-to-image, image-to-image, text-to-video, image-to-video, inpainting and outpainting, with PNG and JPG output. The project supports dozens of models and can automatically download selected reference models. Guidance features include LoRA, ControlNet, IPAdapters and Prompt Enhance. Image processing tools cover captioning, tagging, upscaling, interpolation, colorization, filtering and color correction. SDNQ quantization is described as reducing VRAM use by up to 4x; Balanced Offload balances CPU and GPU memory for larger models on limited hardware. Listed hardware options include CUDA, ROCm, ZLUDA, Intel IPEX XPU, OpenVINO, DirectML, Apple M1/M2 MPS, ONNX/Olive and CPU-only execution. SD.Next runs on Linux, macOS and Windows, and provides API access. The project describes desktop and mobile interfaces and localization in about 15 languages. Its security policy says it does not send or share data externally, track user or system data, store inputs or results, or use analytics services. The repository identifies Apache-2.0 as its license.

Visit github.com