Invoke VS LabFig
Invoke VS LabFig对比，Invoke 和 LabFig 有什么区别？
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总结
Invoke 总结
Invoke 着陆页
LabFig 总结
LabFig 着陆页
比较详细信息
Invoke 详细信息
| 类别 | AI图像生成器, AI艺术生成器, AI视频生成器, AI工作流, AI模型, 图生图, 文字生成图像 |
| Invoke 网站 | https://www.invoke.com?utm_source=toolify |
| 添加时间 | 2025年10月18日 |
| Invoke 定价 | -- |
LabFig 详细信息
| 类别 | AI图像生成器, 图生图, 文字生成图像 |
| LabFig 网站 | https://labfig.com?utm_source=toolify |
| 添加时间 | 2026年6月22日 |
| LabFig 定价 | -- |
使用情况比较
如何使用 Invoke？
Users can generate images and videos by painting, drawing, or providing text prompts, with the ability to render content in their specific style. The Invoke Canvas provides a studio-grade workspace with non-destructive layers, targeted editing for specific areas, and an infinite artboard. Users can also train custom AI models on their proprietary content, utilize pre-built workflow templates, and collaborate securely with teams.
如何使用 LabFig？
Using LabFig takes three steps. First, pick an input mode — type a text description, upload a hand-drawn sketch, drop in a reference figure, attach a research PDF, or snap a photo of your whiteboard or notebook. Second, choose a publication style (Scientific, Line, 3D, Editorial, Sketch, Watercolor, or Auto) and generate a journal-grade draft in seconds. Third, refine on the vector canvas — relabel any text, recolor a panel, or select a region and regenerate it with a single prompt — then export to SVG or PDF and drop it straight into your manuscript or submission template.
比较 Invoke 和 LabFig 的优势
Invoke的核心功能
- Studio-grade control over image and video generation
- Non-destructive, layer-based editing with an infinite canvas
- Custom AI model training on proprietary content
- Secure collaboration tools for teams
- Workflow Builder for accelerating creative pipelines
- Enterprise-grade security and compliance (SOC-2 Type 2)
- Full ownership of created assets and trained models
- Upscaling for high-resolution image enhancement
LabFig的核心功能
- Text-to-Figure: generate publication-ready figures from a text description
- Sketch-to-Figure: turn a hand-drawn sketch or whiteboard photo into a clean figure
- Reference-to-Figure: match the layout and style of any reference figure
- PDF-to-Figure: redraw or adapt figures directly from a research paper
- Fully editable output: every text, arrow, shape, and color stays editable after generation
- Region regenerate: select any area and regenerate it with a single prompt
比较使用案例
Invoke的使用案例
- Generating refined concept renders from 3D blockouts
- Transforming in-game screenshots or 3D renders into 2D key art
- Converting sketches into fully rendered concept art
- Ensuring style consistency with brand guidelines and intellectual property
- Transforming hand-drawn architectural sketches or 3D renders into photorealistic visualizations
- Applying regional prompting for specific guidance in images
- Quickly generating IP-appropriate assets
LabFig的使用案例
- Creating mechanism diagrams and graphical abstracts for journal submissions
- Redrawing a hand-drawn experimental schematic into a publication-grade figure
- Adapting an old figure from a PDF for a review or revision
- Keeping a consistent visual style across all figures in a paper or lab
- Generating engineering, physics, and CS figures that bio-only tools can't handle
Invoke和LabFig的不同计划
Invoke
$15/mo
For personal side projects and exploration. Billed Annually. Includes 7200 processing credits per month, 1 single-user Studio space, Workflow Builder, and 20GB of asset and custom model storage. Monthly billing is $19/mo.
$39/mo
For freelancers looking to train their own models. Billed Annually. Includes everything in Starter plus 18,000 processing credits per month, Custom Model Training, and 100GB of asset and custom model storage. Monthly billing is $49/mo.
$79/mo per USER
For small teams to create securely together. Billed Annually. Includes everything in Indie plus 36,000 processing credits per month per user, unlimited multi-user Studio spaces, Role-based access controls, and 200GB of asset storage per user. Flux for Commercial Use add-on available (+$30/user). Monthly billing is $99/mo per USER.
Talk to us
For companies seeking advanced compliance and protection. Includes everything in Indie & Premier, plus pooled processing credits, model training support, single tenant hosting, SSO/SAML Authentication, dedicated account & implementation support, and more.
Free
Downloadable, installable, and runnable locally on compatible hardware at no cost. Offers the core Invoke studio functionality.
LabFig
对不起，没有数据
Invoke的流量
Invoke 是月访问量为 1.3K 且平均访问时长为 00:00:00 的工具。 Invoke 的每次访问页数为 1.11，跳出率为 37.35%。
最新流量情况
| 月访问量 | 1.3K |
| 平均·访问时长 | 00:00:00 |
| 每次访问页数 | 1.11 |
| 跳出率 | 37.35% |
LabFig的流量
LabFig 是月访问量为 0 且平均访问时长为 00:00:00 的工具。 LabFig 的每次访问页数为 0.00，跳出率为 0.00%。
最新流量情况
| 月访问量 | 0 |
| 平均·访问时长 | 00:00:00 |
| 每次访问页数 | 0.00 |
| 跳出率 | 0.00% |
地理位置
Invoke 的前 2 个国家/地区是：France 85.92%, India 14.08%
Top 2 国家/地区
 | 85.92% |
 | 14.08% |
地理位置
对不起，没有数据
流量来源
Invoke 的 6 个主要流量来源是：邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
流量来源
LabFig 的 6 个主要流量来源是：邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Invoke 或 LabFig哪个更好？
Invoke 可能比 LabFig 更受欢迎。如您所见，Invoke 每月有 1.3K 次访问，而 LabFig 每月有 0 次访问。 所以更多的人选择了Invoke。 因此，人们很可能会在社交平台上更多地推荐 Invoke。
Invoke 的平均访问持续时间为 00:00:00，而 LabFig 的平均访问持续时间为 00:00:00。 此外，Invoke 的每次访问页面为 1.11，跳出率为 37.35%。 LabFig 的每次访问页面为 0.00，跳出率为 0.00%。
Invoke 的主要用户是France, India，分布如下：85.92%, 14.08%。
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