base on Clarity AI | AI Image Upscaler & Enhancer - free and open-source Magnific Alternative <div align="center"> <h1> Clarity AI | AI Image Upscaler & Enhancer - free and open-source Magnific Alternative </h1> [](https://ClarityAI.co) [](https://ClarityAI.co/api) [](https://replicate.com/philz1337x/clarity-upscaler) [](https://github.com/philz1337x/ComfyUI-ClarityAI) [](https://twitter.com/philz1337x)   [Full Video on X/Twitter](https://x.com/philz1337x/status/1768679154726359128?s=20) </div> # 👋 Hello I build open source AI apps. To finance my work i also build paid versions of my code. But feel free to use the free code. I post features and new projects on https://twitter.com/philz1337x # 🗞️ Updates - 06/19/2024: Pattern upscaling - 05/24/2024: Increased Resolution to 13kx13k (https://x.com/philz1337x/status/1793983581636690379) - 05/16/2024: Output file format: jpg/png/webp (https://x.com/philz1337x/status/1791431093641457824) - 05/02/2024: Sharpen image - 05/07/2024: ComfyUI node (https://x.com/philz1337x/status/1787905308439826920) - 04/12/2024: Multi-step upscaling (https://x.com/philz1337x/status/1785269458304442565) - 04/07/2024: Resemblance fixed (https://x.com/levelsio/status/1776729356120797265) - 04/05/2024: Speed Improvements (https://x.com/philz1337x/status/1776121175195975888) - 04/01/2024: Support custom safetensors checkpoints (https://x.com/philz1337x/status/1774772572632338435) - 03/28/2024: Anime upscaling (https://x.com/philz1337x/status/1773342568543346738) (https://clarityai.co/anime-image-upscaling) - 03/26/2024: LoRa Support (https://x.com/philz1337x/status/1772575319871959180) - 03/21/2024: Pre downscaling (https://x.com/philz1337x/status/1770680096031961351) - 03/18/2024: Fractality (https://x.com/philz1337x/status/1769756654533485050) - 03/15/2024: Code release (https://x.com/philz1337x/status/1768679154726359128) # 🚀 Options to use Clarity-Upscaler Note that this repository is an implementation for cog. If you are not familiar with cog, I recommend the easier solutions. The free options are ComfyUI and A1111, while the paid but easy-to-use options are my app ClarityAI.co and the ComfyUI API Node. ## 🧑‍💻 App The simplest option to use Clarity is with the app at [ClarityAI.co](https://ClarityAI.co) ## 🐰 ComfyUI ### 1. API node 1. Open ComfyUI Manager, search for Clarity AI, and install the node. 2. Create an API key at: [ClarityAI.co/ComfyUI](https://ClarityAI.co/comfyui) 3. Add the API key to the node as a) envirement variable `CAI_API_KEY` OR b) to a `cai_platform_key.txt` text file OR c) in `api_key_override` field of the node. Full instructions: https://github.com/philz1337x/ComfyUI-ClarityAI ### 2. Free workflow 1. Download the repo https://github.com/philz1337x/ComfyUI-ClarityAI and use the file free-wokflow.json ## ⚙️ API Use the API at: [ClarityAI.co/API](https://ClarityAI.co/api) ## Cog If you are not familiar with cog read: <a href=https://github.com/replicate/cog/blob/main/docs/getting-started-own-model.md>cog docs</a> - run `download_weights.py` - predict with cog: ```su cog predict -i image="link-to-image" ``` ## A1111 webUI For a detailed explanation, use the tutorial in this post: https://x.com/philz1337x/status/1830504764389380466 https://github.com/AUTOMATIC1111/stable-diffusion-webui - Use these params: ```Prompt: masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1> Negative prompt: (worst quality, low quality, normal quality:2) JuggernautNegative-neg Steps: 18, Sampler: DPM++ 3M SDE Karras, CFG scale: 6.0, Seed: 1337, Size: 1024x1024, Model hash: 338b85bc4f, Model: juggernaut_reborn, Denoising strength: 0.35, Tiled Diffusion upscaler: 4x-UltraSharp, Tiled Diffusion scale factor: 2, Tiled Diffusion: {"Method": "MultiDiffusion", "Tile tile width": 112, "Tile tile height": 144, "Tile Overlap": 4, "Tile batch size": 8, "Upscaler": "4x-UltraSharp", "Upscale factor": 2, "Keep input size": true}, ControlNet 0: "Module: tile_resample, Model: control_v11f1e_sd15_tile, Weight: 0.6, Resize Mode: 1, Low Vram: False, Processor Res: 512, Threshold A: 1, Threshold B: 1, Guidance Start: 0.0, Guidance End: 1.0, Pixel Perfect: True, Control Mode: 1, Hr Option: HiResFixOption.BOTH, Save Detected Map: False", Lora hashes: "more_details: 3b8aa1d351ef, SDXLrender_v2.0: 3925cf4759af" ``` ", Assign "at most 3 tags" to the expected json: {"id":"8620","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"