Type | |
Stats | 759 2,406 |
Reviews | (79) |
Published | Oct 11, 2023 |
Base Model | |
Training | Steps: 7,280 Epochs: 20 |
Trigger Words | Fantascape |
Hash | AutoV2 A4523AFC10 |
Model made from many tests generated by stable diffusion.
I have tried many versions of the same prompt with many different models to achieve this.
Support me: https://ko-fi.com/elevatedone
Recommended Values:
Weight: 0.1-0.4 (gets really distorted at higher values)
Activation Word: Fantascape
Prompts like: landscape, waterfall, volumetric fog, forest, mountains, greenery, river, valley, volumetric reflections & other landscape prompts
Model: can use any (try batch checkpoint & prompt through all your models to find out what you like the most)
Sampler: Euler a is enough
Samples: 20-40 for high quality, <20 for more artsy images
Original Prompt: (training images)
Positive: high quality, high resolution, extreme detail, masterpiece, great composition, (face:0.9), disembodied hands, (((hands:0.8))), (((forest))), valley, river, (trees:1.2), grass, (mountains:0.2), flowers, bushes, roaming animals, weeds, long grass, nature, sky, clouds, ((greenery)), ((day)), bright picture, (((in the style of Zdzislaw Beksinski))), (((surreal))), (((colorful))), ((dark photo, dark scene))
Negative: (bad quality), (worst quality), ((out of focus)), text, signature, watermark, username, night
you can use verybadimagenegative textual inversion in negative next to the prompt i wrote here