Dreamcore-77

Dreamcore-77: Surreal Nature & Dream Aesthetic LoRA

For business inquiries, commercial licensing, custom models, and consultation, contact: [email protected]

• X/Twitter: hammady hossam

• Instagram: @77oussam

Dreamcore-77 is a visual style LoRA designed to generate soft, surreal, and emotionally immersive visuals inspired by dreamcore and glitch nature aesthetics. This model excels at producing foggy landscapes, distorted natural elements, soft lights, and nostalgic atmospheres. Perfect for cinematic storytelling, surreal illustrations, concept art, and experimental projects.

Tags:
Dreamcore-77,dreamcore, surreal aesthetic, foggy forest, glitch nature, soft dream light, liminal visuals, visual escape, dreamy world, ambient horror, otherworldly scenes,

Example Prompts:

• Dreamcore-77, surreal nature scene, foggy forest path with glowing mushrooms, soft purple and teal hues, dreamlike lighting, shallow depth of field, cinematic glow, atmospheric haze, otherworldly feeling

• Dreamcore-77, abandoned mall flooded with pink light, glitchy architecture, floating grass and flowers, VHS distortion, liminal space aesthetics, pastel sky, dreamcore lighting, digital haze

• Dreamcore-77, a group of mismatched vending machines in the middle of a foggy infinite parking lot, flickering glitch lights, soft gradient sky, eerie dreamlike ambience, surreal detail

• Dreamcore-77, soft mountains emerging from a glowing ocean, sunburst clouds above, hyper-real textures, nature and technology fusion, dreamy color palette, reflective water surface

• Dreamcore-77, trippy forest corridor, infinite trees with unnatural symmetry, glowing roots, ambient glitch light, cinematic blur, unsettling calm atmosphere

Images made with: Flux.dev
Sampling: Euler a / DDIM
Scheduler: normal/ beta
Sampling steps: 30 / 40
Distilled CFG Scale: 4 / 5

This LoRA is ideal for creators seeking a dreamlike, surreal visual world. From eerie forests to glitchy natural scenes, Dreamcore-77 brings emotional depth and visual poetry to your AI generations.