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huggingface-lora-space-builder Skill

AI Agent SkillPythonOpen source

Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, Gradio app, or playground for a LoRA — including LoRAs for Qwen-Image, Qwen-Image-Edit, LTX-Video, Wan, FLUX, SDXL, or other diffusion base models. Also triggers wh Published by huggingface in skills.

What is huggingface-lora-space-builder Skill?

Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, Gradio app, or playground for a LoRA — including LoRAs for Qwen-Image, Qwen-Image-Edit, LTX-Video, Wan, FLUX, SDXL, or other diffusion base models. Also triggers wh Published by huggingface in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Browser automation
  • Design and media
  • Browser automation use cases
  • Design and media use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use huggingface-lora-space-builder Skill

  • Use it for browser automation.
  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: huggingface
  • Repository: huggingface/skills
  • Skill file: skills/huggingface-lora-space-builder/SKILL.md

What it does

Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, Gradio app, or playground for a LoRA — including LoRAs for Qwen-Image, Qwen-Image-Edit, LTX-Video, Wan, FLUX, SDXL, or other diffusion base models. Also triggers wh

Skill instructions

Gradio LoRA Space Builder Build and publish a Gradio demo on Hugging Face Spaces that runs inference with a user-provided LoRA. Use whenever someone asks to create, generate, ship, or publish "a Space", "a demo", "a Gradio app", or "a playground" for a LoRA — whether the base model is Qwen-Image, Qwen-Image-Edit, LTX, or another diffusion model. Also use when someone describes a LoRA they trained or hosts on the Hub and wants to share it. The default target is ZeroGPU hardware and the default inference library is diffusers when the base model supports it. The output is a real, published Space (private by default) that the user can try in the browser, not a local script. What "good" looks like for these demos The demo should feel handcrafted for this specific LoRA, not a generic template with the LoRA bolted on. Two LoRAs that share a task can still need different demos: a pose-control video LoRA and an outpainting video LoRA both take video in and produce video out, but the inputs the

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Frequently asked questions

What is huggingface-lora-space-builder?

huggingface-lora-space-builder is a open-source AI agent skill with Copy skill directory. Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA.

Who is huggingface-lora-space-builder best for?

huggingface-lora-space-builder is best for reusing agent instructions, scripts, and references, browser automation workflows, design and media workflows.

How do I install huggingface-lora-space-builder?

Install or run huggingface-lora-space-builder using Copy skill directory. Check huggingface-lora-space-builder for the latest setup command.

Is huggingface-lora-space-builder actively maintained?

huggingface-lora-space-builder may need a closer maintenance check before production use.

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Stars
10,812
Forks
717
Last commit
9 days ago
Repository age
8 months
License
Apache-2.0

Auto-fetched from GitHub.

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