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huggingface-lora-space-builder

Build and publish Gradio demos for LoRAs on Hugging Face Spaces.

Updated Jun 15, 2026
Search Tags:#gradio#huggingface#spaces#loras#ai demos
One-click install
npx skills add https://github.com/Andrew-Girgis/token-holdem --skill huggingface-lora-space-builder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: huggingface-lora-space-builder
Source: https://github.com/Andrew-Girgis/token-holdem/tree/main/.agents/skills/huggingface-lora-space-builder
Command: npx skills add https://github.com/Andrew-Girgis/token-holdem --skill huggingface-lora-space-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gradio, huggingface_hub, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables the creation and publication of Gradio demos on Hugging Face Spaces for LoRAs (Low-Rank Adaptations), providing a seamless way to showcase and share custom AI applications.

Core Features & Use Cases

  • Build Custom Spaces: Design and build Gradio demos tailored to specific LoRAs, including text-to-image, image-to-image, text-to-video, image-to-video, and video-to-video tasks.
  • Publish to Hugging Face Spaces: Deploy the built demos as private or public Spaces on Hugging Face, allowing users to interact with the models directly in their browser.
  • Use Cases: Ideal for researchers, developers, or hobbyists who want to share their LoRA-based projects with a broader audience or to facilitate collaboration.

Quick Start

Run the huggingface-lora-space-builder skill with the following command: huggingface-lora-space-builder <lora-repo> <base-model-repo>

Frequently Asked Questions about huggingface-lora-space-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a Gradio demo for a LoRA on Hugging Face Spaces?▼

You can build a Gradio demo by running the Skill with your LoRA repository and base model repository. It generates the application files and deploys them directly to Hugging Face Spaces for browser-based interaction.

What types of AI tasks can I showcase using a Gradio demo on Hugging Face Spaces?▼

You can showcase text-to-image, image-to-image, text-to-video, image-to-video, and video-to-video tasks. The Skill configures the Gradio interface to match the specific input and output modalities of your LoRA.

Do I need Hugging Face Hub access to publish a Gradio Space for my LoRA?▼

Yes, Hugging Face Hub access is required to publish the Gradio demo. The Skill uses the huggingface_hub dependency to authenticate your account and deploy the application as a public or private Space.

Can I use this Skill to deploy text-to-video LoRAs on Hugging Face?▼

Yes, this Skill supports deploying text-to-video LoRAs on Hugging Face Spaces. It applies the necessary model-specific dependencies to ensure the Gradio demo handles the video generation tasks correctly.

What dependencies are required to create a Hugging Face Space for a LoRA?▼

Creating a Hugging Face Space for a LoRA requires Gradio and huggingface_hub dependencies. You must also install any model-specific dependencies needed by the base model to ensure the demo runs correctly.

Are there limitations when publishing custom LoRA demos to Hugging Face Spaces?▼

Limitations include the need for model-specific dependencies and correct base model pairing. The Skill handles the Gradio interface generation, but the underlying LoRA and base model must be compatible for the demo to function.

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