How do I run DeepFloyd IF?

It is an open-source research release. You install it from the GitHub repository or via Hugging Face Diffusers and run it on your own GPU hardware.

What hardware do I need?

The recommended setup is roughly 16GB of VRAM for the base module and first upscaler, and around 24GB to run the base plus both super-resolution stages, though Diffusers CPU offloading can reduce this.

How does the cascade actually work?

DeepFloyd IF generates 64px images in the base stage and then upscales to 256px and 1024px through two super-resolution models, rather than generating at full resolution in one pass.

Is DeepFloyd IF free to use?

Yes. IF is distributed freely under its model licence and is integrated into the Hugging Face Diffusers library.

DeepFloyd IF 的月流量和增长趋势如何？

DeepFloyd IF 目前每月获得 0 访问量，月度环比流量变化为 +0（增长率 0.0%）。其主要来源市场是全球（— 份额），包括每月 0 次直接访问和每月 0 次自然搜索访问。

DeepFloyd IF 免费吗？它的定价模式是什么？

DeepFloyd IF 采用免费定价模式。Free and open source. The code is published on GitHub and the weights are available on Hugging Face; there is no paid plan, though you cover your own compute costs. 支持的计费和结账平台包括：未列出。

DeepFloyd IF — 月访问量 (0/月)、定价、API 与平替对比

Open AI Tools

DeepFloyd IF — 月访问量 (0/月)、定价、API 与平替对比 | Open AI Tools

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同一分类下同类 AI 工具的流量并排对比

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排名	AI 工具	月访问量	月度环比增长	直接流量占比	定价	头对头
●	DeepFloyd IF	0	—	—	免费	当前产品
1	MiniMax Image-01	525.37万	-13.2%	51% 直接流量	定价请咨询	对比 MiniMax Image-01
2	Clipdrop	45.67万	-16%	46% 直接流量	免费增值，定价请咨询	对比 Clipdrop
3	Stable Diffusion API	2.68万	-21.8%	32% 直接流量	付费	对比 Stable Diffusion API
4	ImgGen AI	14.84万	+20.4%	24% 直接流量	免费	对比 ImgGen AI
5	Stable Diffusion（Stability AI）	34.19万	+1.2%	39% 直接流量	免费增值，定价请咨询	对比 Stable Diffusion（Stability AI）
6	Stable Horde	10.38万	+176.5%	30% 直接流量	免费	对比 Stable Horde