clarity-upscaler

clarity-upscaler

Clarity AI | AI Image Upscaler & Enhancer - free and open-source Magnific Alternative

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Clarity AI is a free and open-source AI image upscaler and enhancer, providing an alternative to Magnific. It offers various features such as multi-step upscaling, resemblance fixing, speed improvements, support for custom safetensors checkpoints, anime upscaling, LoRa support, pre-downscaling, and fractality. Users can access the tool through the ClarityAI.co app, ComfyUI manager, API, or by deploying and running locally or in the cloud with cog or A1111 webUI. The tool aims to enhance image quality and resolution using advanced AI algorithms and models.

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Clarity AI | AI Image Upscaler & Enhancer - free and open-source Magnific Alternative

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👋 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

🚀 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

🐰 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
  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

Cog

If you are not familiar with cog read: cog docs

  • run download_weights.py

  • predict with cog:

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:
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"

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