curiousli50 / clarity-upscaler

Clarity-Upscaler: Reimagined image upscaling for everyone

Clarity-Upscaler: Reimagined image upscaling for everyone

Example Video: https://x.com/philz1337x/status/1768679154726359128?s=20.

👋 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

🚀 Options to use Clarity-Upscaler

User friendly Website

If you are not fimilar with cog, a1111 and dont't want to use Replicate (which is quite simple), you can use my paid version at ClarityAI.cc

Deploy and run with cog (locally or cloud)

If you are not familiar with cog read: cog docs

• Download Checkpoints and LoRa's from Cvitai and put in /models folder
• predict with cog:

cog predict -i image="link-to-image"

Run with A1111 webUI

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"

Replicate API for app integration

• go to https://replicate.com/philz1337x/clarity-upscaler/api