This LoRA is designed to capture the distinct look and feel of early 80s fantasy movies.The trigger words are ArsMovieStill, 80s Fantasy Movie StillZ-IMAGE UPDATE: V2 dataset officially became my go-to test dataset when training a model for the first time. Experimental! Default ComfyUI LoRA Loader Reports Errors, but actually applys the LoRA. Recommended usage settings:<ol><li>Your favourite spot.</li><li>Listen to Castle Rat as background.</li><li>Enjoy!</li></ol><div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/iWKmiTwjjHA?rel=1" start="0"></iframe></div> MJ7 UPDATE: Building each dataset is a joy, so with the release of MidJourney 7, I naturally started this one again from scratch.This version stays true to the original aesthetic but with improved fidelity and an even stronger 80s vibe.It’s trained on a fresh, carefully curated set of ~250 images, created by referencing the best results from the previous versions. V3 UPDATE: The training dataset has been further expanded to 1,000 curated images, pushing it to the limits of Civit’s on-site training capabilities.This update include broader selection of fantasy environments, mythical creatures, and epic scenes, enhancing the fidelity to the iconic 80s fantasy aesthetic. V2 UPDATE: Added to the dataset a huge amount of Fantasy Characters, beasts and scenes. Use v1 for stronger effects and v2/v3 for better versatility.

80s Fantasy Movie

Based on V2 Dataset. One of my First Anima Tryouts.

ArsMovieStill__80sFantasyMovieStill-step00006000.safetensors

Anima

IdeogramNaturalLanguage

Ideogram

Ernie

ZImageBase

Klein9B

Klein4B

ZImageTurboHigh

ZImageTurbo

Chroma

Wan2.2(T2I High)

Wan2.2(T2I Low)

Qwen

FluxMJ7

SD1MJ7

IllustriousMJ7

SDXLMJ7

PonyMJ7

Flux V3

SDXLv3

Pony V3

SD1.5 V3

SD1.5V2

SDXLV2

PonyV2

FluxV2

SD1.5

Pony

SDXL

Flux

Files with SHA256: e71f33149b90de7d27af3483b9ed435818bee817893312eef4d580a516dbfa22