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Update WaveSpeed inference provider description - #2718

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Update WaveSpeed inference provider description#2718
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chengzeyi:wavespeed-provider-description

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@chengzeyi chengzeyi commented Aug 20, 2026

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Hi! We're the WaveSpeed team (an Inference Provider on the Hub). This PR updates our provider description on docs/inference-providers/providers/wavespeed.md, edited via the wavespeed.handlebars template as the file header instructs, with the generated .md updated to match (same approach as #2027).

Why

The current blurb is generic and doesn't tell a reader anything about what we actually serve:

WaveSpeedAI is a high-performance AI inference platform specializing in image and video generation. Built with cutting-edge infrastructure and optimization techniques, WaveSpeedAI provides fast, scalable, and cost-effective model serving for creative AI applications.

Proposed

WaveSpeedAI is an inference platform for image and video generation. On Hugging Face it serves open-weight model families including FLUX, Qwen-Image, Z-Image, HiDream, Wan, HunyuanVideo, LTX-2 and MiniMax-H3, covering text-to-image, image-to-image, text-to-video and image-to-video from a single API, as well as LoRA adapters hosted on the Hub. The wider WaveSpeedAI catalog also includes closed-weight models such as Seedream, Seedance, Nano Banana and GPT Image.

We aimed to match the tone and length of the other provider templates (fal-ai, replicate, together, baseten) — factual, no superlatives, no performance claims.

Evidence for the claims

From https://huggingface.co/api/models?inference_provider=wavespeed&expand[]=inferenceProviderMapping, counting live mappings where provider == "wavespeed":

Task single-model mappings tag-filter (LoRA) mappings
text-to-image 13 44,645
image-to-image 8 451
text-to-video 5 155
image-to-video 6 176
image-text-to-video 1 12
image-text-to-image 0 10

The 33 single-model repos behind the named families: FLUX.1-dev / -schnell / -Krea-dev / -Kontext-dev, FLUX.2-dev / -klein-*, Qwen-Image / -2512 / -Edit / -Edit-2509 / -Edit-2511, Tongyi-MAI/Z-Image (+ Turbo), HiDream-I1-Dev / -Full, Wan2.1/2.2 T2V, I2V and TI2V, tencent/HunyuanVideo / -1.5, tencent/HunyuanImage-2.1, Lightricks/LTX-2, MiniMaxAI/MiniMax-H3, ByteDance/lynx, chetwinlow1/Ovi, briaai/FIBO, ideogram-ai/ideogram-4-fp8, krea/Krea-2-Turbo.

Scope

Deliberately minimal — copy only, two files, no other changes:

  • Partners table in index.md: untouched. Its columns are Chat completion, Feature Extraction, Text to Image, Text to video, Speech to text — there's no image-to-image or image-to-video column, and other image/video providers are equally uncredited there. Mentioning it only as an observation; adding columns is a product decision for you, not something a vendor PR should push.
  • Featured code snippets: untouched. Our text-to-video snippet currently points at larryvrh/MiniMax-H3-Turbo-Lora, a third-party user repo rather than MiniMaxAI/MiniMax-H3. We checked generate.ts and this is fully automated (sort=likes30d, top warm model per task/provider), and that repo genuinely leads by likes30d (750 vs 328 for the runner-up) — so it's working as designed and not ours to override. Flagging it only in case you consider it surprising that a community LoRA fine-tune is the featured example for a provider.
  • Prettier: .handlebars is in .prettierignore, and docs/ is outside the scripts/inference-providers format scope. prettier --check on wavespeed.md reports the same pre-existing warning before and after this change.

Happy to adjust the wording however you'd prefer. Note: this PR was prepared with AI assistance (Claude Code); all figures above were verified against the Hub API and the numbers/claims were reviewed by us.


Note

Low Risk
Documentation-only wording change for a provider page; no code, API, or security impact.

Overview
Replaces the generic WaveSpeedAI blurb with a factual description of what the provider serves on Hugging Face: named open-weight image/video families, Hub LoRAs, and a note that the wider WaveSpeed catalog also includes closed-weight models.

The copy is updated in wavespeed.handlebars and the generated wavespeed.md. No task snippets, logos, or partner-table changes.

Reviewed by Cursor Bugbot for commit 8eeeb35. Bugbot is set up for automated code reviews on this repo. Configure here.

Replace the generic provider blurb with a concrete description of the
model families and tasks WaveSpeed actually serves through Hugging Face.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LJJXU9zyoDSBjApcUpteDt

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</div>

[WaveSpeedAI](https://wavespeed.ai/) is a high-performance AI inference platform specializing in image and video generation. Built with cutting-edge infrastructure and optimization techniques, [WaveSpeedAI](https://wavespeed.ai/) provides fast, scalable, and cost-effective model serving for creative AI applications.
[WaveSpeedAI](https://wavespeed.ai/) is an inference platform for image and video generation. On Hugging Face it serves open-weight model families including FLUX, Qwen-Image, Z-Image, HiDream, Wan, HunyuanVideo, LTX-2 and MiniMax-H3, covering text-to-image, image-to-image, text-to-video and image-to-video from a single API, as well as LoRA adapters hosted on the Hub. The wider [WaveSpeedAI](https://wavespeed.ai/) catalog also includes closed-weight models such as Seedream, Seedance, Nano Banana and GPT Image.

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P2 Badge Remove the unsupported image-to-video API claim

The current integration generator does not include image-to-video among its supported TASKS (scripts/inference-providers/scripts/generate.ts:8-28), and this generated provider page consequently exposes only image-to-image, text-to-image, and text-to-video. Users of the documented Hugging Face Inference Providers API therefore have no image-to-video task/helper through which to use the capability promised here; either add first-class task support before making this claim or describe image-to-video as part of WaveSpeed's wider catalog instead.

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