https://civitai.com/models/1162839/oligarchy?modelVersionId=1308053 Version: 1.0 – Released 2025-01-20 Oligarchy is my latest photorealistic Frankenstein of a merge, designed to crank out ultra-sharp, realistic images. I took my custom LoRAs (some trained from scratch on my own data) and meshed them with a carefully curated set of open-source LoRAs. The result? A model that dishes out lifelike images for portraits, street photography, scenic shots—whatever you can dream up. This model is all about capturing the absolute best of what I think a photoreal merge should have. Under the Hood Base Model: Flux Dev (foundation) LoRA Stack: 50 LoRAs total 15 hand-trained by yours truly 35 borrowed from open-source, because sharing is caring Resolution Sweet Spot: 840×1232 (though it can stretch beyond that if you have the juice) Merge Approach Core Merge: Flux Dev + my personal LoRAs, especially the ones focused on photoreal textures (skin, fabric, hair, lighting). Open-Source Goodies: Mixed in specialized environment and detail-focused LoRAs for max immersion. Final Tuning: Balanced everything so you won’t get weird color shifts or style conflicts. Highlights Hyper-Real: Crisp details on faces, backgrounds, and everything in between. Stability: Fewer random artifacts, more consistent composition. Prompt Flexibility: Works for moody portraits, bright landscape shots, or even close-up product renders. Plays Nice with Upscaling: Compatible with your favorite upscalers and in-painting workflows. Shout-Outs Flux Dev Creators: Couldn’t do this without that awesome base. LoRA Contributors: Thank you for your open-source wizardry. Testers & Supporters: You know who you are—your feedback is gold. Getting Started Grab the Model: Throw Oligarchy.gguf (or .safetensors) into your comfy-ui models/unet folder. Prompt Tips: Example prompt: A cinematic portrait of [subject], ultra-detailed, photoreal, shot on 50mm lens Tweak your weights or add style LoRAs to get the exact look you want. Sampler/schedulers: Euler/simple or uni_pc_bh2/beta are my personal go-tos, but experiment away. Version Notes v1.0 (2025-01-20): Initial public release. Thorough testing to ensure stable color, minimal artifacts, and that “so real you can feel it” vibe.