# Supported values: # - VIDEOCHAIN # - REPLICATE # - INFERENCE_ENDPOINT # - INFERENCE_API # - OPENAI RENDERING_ENGINE="INFERENCE_API" # Supported values: # - INFERENCE_ENDPOINT # - INFERENCE_API # - OPENAI # - GROQ LLM_ENGINE="INFERENCE_API" # set this to control the number of pages MAX_NB_PAGES=1 # Set to "true" to create artificial delays and smooth out traffic NEXT_PUBLIC_ENABLE_RATE_LIMITER="false" # ------------- HUGGING FACE OAUTH ------------- ENABLE_HUGGING_FACE_OAUTH= ENABLE_HUGGING_FACE_OAUTH_WALL= HUGGING_FACE_OAUTH_CLIENT_ID= HUGGING_FACE_OAUTH_REDIRECT_URL= # this one must be kept secret (and is unused for now) HUGGING_FACE_OAUTH_SECRET= # ------------- PROVIDER AUTH ------------ # You only need to configure the access token(s) for the provider(s) you want to use # HuggingFace.co token: available for the LLM engine and the RENDERING engine AUTH_HF_API_TOKEN= # Replicate.com token: available for the RENDERING engine AUTH_REPLICATE_API_TOKEN= # OpenAI.dom token: available for the LLM engine and the RENDERING engine AUTH_OPENAI_API_KEY= # An experimental RENDERING engine (sorry it is not very documented yet, so you can use one of the other engines) AUTH_VIDEOCHAIN_API_TOKEN= # Groq.com key: available for the LLM engine AUTH_GROQ_API_KEY= # ------------- RENDERING API CONFIG -------------- # If you decided to use Replicate for the RENDERING engine RENDERING_REPLICATE_API_MODEL="stabilityai/sdxl" RENDERING_REPLICATE_API_MODEL_VERSION="da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf" # If you decided to use a private Hugging Face Inference Endpoint for the RENDERING engine RENDERING_HF_INFERENCE_ENDPOINT_URL="https://XXXXXXXXXX.endpoints.huggingface.cloud" # If you decided to use a Hugging Face Inference API model for the RENDERING engine RENDERING_HF_INFERENCE_API_BASE_MODEL="stabilityai/stable-diffusion-xl-base-1.0" # If you decided to use a Hugging Face Inference API model for the RENDERING engine RENDERING_HF_INFERENCE_API_REFINER_MODEL="stabilityai/stable-diffusion-xl-refiner-1.0" # If your model returns a different file type (eg. jpg or webp) change it here RENDERING_HF_INFERENCE_API_FILE_TYPE="image/png" # An experimental RENDERING engine (sorry it is not very documented yet, so you can use one of the other engines) RENDERING_VIDEOCHAIN_API_URL="http://localhost:7860" RENDERING_OPENAI_API_BASE_URL="https://api.openai.com/v1" RENDERING_OPENAI_API_MODEL="dall-e-3" # ------------- LLM API CONFIG ---------------- LLM_GROQ_API_MODEL="mixtral-8x7b-32768" # If you decided to use OpenAI for the LLM engine LLM_OPENAI_API_BASE_URL="https://api.openai.com/v1" LLM_OPENAI_API_MODEL="gpt-4" # If you decided to use a private Hugging Face Inference Endpoint for the LLM engine LLM_HF_INFERENCE_ENDPOINT_URL="" # If you decided to use a Hugging Face Inference API model for the LLM engine # LLM_HF_INFERENCE_API_MODEL="HuggingFaceH4/zephyr-7b-beta" LLM_HF_INFERENCE_API_MODEL="HuggingFaceH4/zephyr-7b-beta" # ----------- COMMUNITY SHARING (OPTIONAL) ----------- # You don't need those community sharing options to run the AI Comic Factory # locally or on your own server (they are meant to be used by the Hugging Face team) NEXT_PUBLIC_ENABLE_COMMUNITY_SHARING="false" COMMUNITY_API_URL= COMMUNITY_API_TOKEN= COMMUNITY_API_ID= # ----------- CENSORSHIP (OPTIONAL) ----------- # censorship is currently disabled, but will be required when we create a "community roll" # (a public repositoruy of user-generated comic strips) ENABLE_CENSORSHIP="false" # Due to the sensitive nature of some of keywords we want to ban (users try all kind of crazy illegal things) # the words are are not put in clear in the source code, but behind an encryption key # (I don't want the project to be flagged by an AI robot police on GitHub or something) SECRET_FINGERPRINT=""