Step1X-Edit
Image-to-Image model, built with Transformers.
Image-to-Image model, built with Transformers.
Starting price
Free
Best for
Image editing
Free trial
✓ Free tier
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See how Step1X-Edit compares
Step1X-Edit is a practical fit for buyers evaluating Image editing, AI design tools, and #Machine Learning tools.
- Who is it for?
- Developers who need instruction-based image editing inside their own app, because the Apache-2.0 weights load through a diffusers pipeline and accept LoRA fine-tuning on a single 24GB GPU.
- Pricing
- free
Product information
What this product does
Image-to-Image model, built with Transformers. Download, explore files and run it on Hugging Face.
Sourced from huggingface.co
Works With
Platforms
- Web
Company & Maker
Who built Step1X-Edit?
- Product
- Image-to-Image model, built with Transformers. Download, explore files and run it on Hugging Face.
The maker hasn't published a public statement we can verify yet.
Researched with AI · Data refreshed 2 hours ago · How we score
Full Report Access
Unlock the verified intelligence before you decide
Step1X-Edit is StepFun's open-source image editing model: a multimodal LLM reads a written instruction and a DiT network produces the edited image. Developers and ML researchers download the Apache-2.0 weights to run, fine-tune or benchmark it, while designers and creators mostly reach it through the hosted demo.
Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Designers use Step1X-Edit to quickly adjust product images, enhancing promotional effects
- Social media content creators edit images with simple instructions to enhance visual appeal
- Ordinary users use this model to perform simple adjustments and beautification of family photos
- Edits a product photo from a written instruction, such as changing the background or adding an object.
- Adds an accessory to a portrait from a short prompt, as in the README's ruby pendant example.
- Fine-tunes a LoRA on a single 24GB GPU, such as the released hand-fixing LoRA for anime characters.
Pricing reality
Vendor stated
Open-source weights and inference code under the Apache-2.0 license.
Actual cost
The model is free to download, but running it costs GPU time: peak memory ranges from 18GB with FP8 and offload to 49.8GB at 1024 resolution.
Hidden costs
3 hidden cost warnings — unlock to view
Pricing reality
Last updated Oct 2026
Starting price
Free
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General buyer tips
Common across software subscriptions, not findings about this product.
True cost for your case
LIVE ESTIMATEEstimated spend
--Starting price has not been verified from a linked pricing source yet.
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Engagement signals (30d)
Based on 6 linked public signals.
Mindber Activity Score™
Score locked
HOW THIS TOOL SCORES
Scores compare this tool with 17 similar tools in Image editing. Use it to judge Innovation and Capability before you shortlist.
Innovation Index™
Is it new, different, and easy to understand?
Medium confidence (60%) - some sub-scores have thin evidence.What this means →
Functionality Score™
Does it cover the jobs buyers expect, and can it keep up?
Low confidence (30%) - some sub-scores have thin evidence.What this means →
Data sources
Traffic & search proof
Public view keeps the ratio story. Paid view unlocks exact monthly visits, full region coverage, and CPC-level keyword intelligence.
Latest traffic snapshot
Monthly visits
31.2M
Avg visit duration
--
Pages per visit
--
Bounce rate
--
Traffic trend
Month-by-month visits from linked public traffic evidence.
Geography
Top regions
Exact monthly traffic is paid-only. Public view keeps percent share only.
Traffic sources
Source mix snapshot
Public view keeps the ratio snapshot. Minor channels stay behind the paid view.
FAQ
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Social mentions
Only linked public mention evidence is shown here.
Showing top 3 of 8 linked mentions.
Sources and methodology
Only evidence with a linked source record or explicit feature provenance is shown here. Data without provenance stays off the page.
COMMUNITY CREDITS
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