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| title: AI Comic Factory | |
| emoji: π©βπ¨ | |
| colorFrom: red | |
| colorTo: yellow | |
| sdk: docker | |
| pinned: true | |
| app_port: 3000 | |
| # AI Comic Factory | |
| ## Running the project at home | |
| First, I would like to highlight that everything is open-source (see [here](https://huggingface.co/spaces/jbilcke-hf/ai-comic-factory/tree/main), [here](https://huggingface.co/spaces/jbilcke-hf/VideoChain-API/tree/main), [here](https://huggingface.co/spaces/hysts/SD-XL/tree/main), [here](https://github.com/huggingface/text-generation-inference)). | |
| However the project isn't a monolithic Space that can be duplicated and ran immediately: | |
| it requires various components to run for the frontend, backend, LLM, SDXL etc. | |
| If you try to duplicate the project, you will see it requires some variables: | |
| - `HF_INFERENCE_ENDPOINT_URL`: This is the endpoint to call the LLM | |
| - `HF_API_TOKEN`: The Hugging Face token used to call the inference endpoint (if you intent to use a LLM hosted on Hugging Face) | |
| - `VIDEOCHAIN_API_URL`: This is the API that generates images | |
| - `VIDEOCHAIN_API_TOKEN`: Token used to call the rendering engine API (not used yet, but it's gonna be because [πΈ](https://en.wikipedia.org/wiki/No_such_thing_as_a_free_lunch)) | |
| This is the architecture for the current production AI Comic Factory. | |
| -> If you intend to run it with local, cloud-hosted and/or proprietary models **you are going to need to code π¨βπ»**. | |
| ## The LLM API (Large Language Model) | |
| Currently the AI Comic Factory uses [Llama-2 70b](https://huggingface.co/blog/llama2) through an [Inference Endpoint](https://huggingface.co/docs/inference-endpoints/index). | |
| You have three options: | |
| ### Option 1: Use an Inference API model | |
| This is a new option added recently, where you can use one of the models from the Hugging Face Hub. By default we suggest to use CodeLlama. | |
| To activate it, create a `.env.local` configuration file: | |
| ```bash | |
| HF_API_TOKEN="Your Hugging Face token" | |
| # codellama/CodeLlama-7b-hf" is used by default, but you can change this | |
| # note: You should use a model able to generate JSON responses | |
| HF_INFERENCE_API_MODEL="codellama/CodeLlama-7b-hf" | |
| ``` | |
| ### Option 2: Use an Inference Endpoint URL | |
| If your would like to run the AI Comic Factory on a private LLM running on the Hugging Face Inference Endpoint service, create a `.env.local` configuration file: | |
| ```bash | |
| HF_API_TOKEN="Your Hugging Face token" | |
| HF_INFERENCE_ENDPOINT_URL="path to your inference endpoint url" | |
| ``` | |
| To run this kind of LLM locally, you can use [TGI](https://github.com/huggingface/text-generation-inference) (Please read [this post](https://github.com/huggingface/text-generation-inference/issues/726) for more information about the licensing). | |
| ### Option 3: Fork and modify the code to use a different LLM system | |
| Another option could be to disable the LLM completely and replace it with another LLM protocol and/or provider (eg. OpenAI, Replicate), or a human-generated story instead (by returning mock or static data). | |
| ### Notes | |
| It is possible that I modify the AI Comic Factory to make it easier in the future (eg. add support for OpenAI or Replicate) | |
| ## The Rendering API | |
| This API is used to generate the panel images. This is an API I created for my various projects at Hugging Face. | |
| I haven't written documentation for it yet, but basically it is "just a wrapper β’" around other existing APIs: | |
| - The [hysts/SD-XL](https://huggingface.co/spaces/hysts/SD-XL?duplicate=true) Space by [@hysts](https://huggingface.co/hysts) | |
| - And other APIs for making videos, adding audio etc.. but you won't need them for the AI Comic Factory | |
| ### Option 1: Deploy VideoChain yourself | |
| You will have to [clone](https://huggingface.co/spaces/jbilcke-hf/VideoChain-API?duplicate=true) the [source-code](https://huggingface.co/spaces/jbilcke-hf/VideoChain-API/tree/main) | |
| Unfortunately, I haven't had the time to write the documentation for VideoChain yet. | |
| (When I do I will update this document to point to the VideoChain's README) | |
| ### Option 2: Use another SDXL API | |
| If you fork the project you will be able to modify the code to use the Stable Diffusion technology of your choice (local, open-source, your custom HF Space etc) | |
| ### Notes | |
| It is possible that I modify the AI Comic Factory to make it easier in the future (eg. add support for Replicate) | |