Zjourney Fantasy Realism Refiner Ideogram 4/Krea 2/Qwen2.1 zjourneyKrea

zjourney - Fantasy Realism Refiner | Qwen 2.1 Update Focused on further grounding Fantasy outputs in photographic output. Trained on 44 film stills. Usage: Recommended strength: 0.5-0.6 Examples were generated with er_sde/beta. one with turbo lora at 6 steps 1cfg, other without 50 steps 2cfg zjourney - Fantasy Realism Refiner | Krea 2 Update Focused on further grounding Fantasy outputs in photographic "realism". Trained on 44 film stills. Usage: - Recommended strength: 0.8-1.4 Examples generated with filter bypass + zjourneykrea LoRA A lightweight LoRA trained on 44 curated images generated with the LoRA, built to refine Ideogram 4 fantasy outputs toward a more realism aesthetic. Why I made this: Ideogram 4 produces stunning fantasy art, but that's often the problem. No matter how I prompted it (photographic, photorealism, cinematic realism, etc.), fantasy subject matter almost always defaults to an illustrated or painterly art style. zjourney was built to push past that and ground those outputs in something that feels genuinely photographic. What it does: Refines Ideogram 4 outputs with richer photorealism, improving surface texturing, cinematic lighting, environmental depth, and material detail across fantasy and action subjects. It also works well as a general realism refiner beyond pure fantasy content. zjourney - Fantasy Realism Refiner | v2 Update V2 expands the training dataset, focusing on further grounding outputs in photographic realism. Trained on 44 film stills alongside 6 LoRA generations. Usage: - Standalone recommended strength: 0.55 0.35-0.6 - For best results, stack with v1: - v1 @ 0.35 + v2 @ 0.45 - First 2 example images generated standalone with v2 - Final 5 example images generated with v1 + v2 combined Key improvements over base Ideogram 4: - More detailed and grounded environments (ruins, foliage, wet stone) - Richer skin, fur, and fabric textures - Stronger cinematic color grading and atmospheric depth - More convincing crowd and secondary figure detail Known limitations: - Close-up shots with heavy focus on skin texture can see a slight degradation in quality, works best at mid-range and wider compositions Usage: - Recommended strength: 0.4–0.7 - Sample images generated at 0.5 - Works best alongside detailed fantasy or action prompts; can also be applied to general realism scenes - Works with and without trigger word, the trigger word was trained in the aesthetics placement in the json prompt structure