🔥🐉 NOW UPDATED TO V2.2! w/ BUILT IN NOISE OFFSET! 🐉🔥 ⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝⚝
🔥IF YOU LIKE DNW..GO TRY: https://civitai.com/models/50294/dreamscapes-and-dragonfire-dnw-30. (DREAMSCAPES & DRAGONFIRE!) IT'S BETTER THAN DNW & WAS DESIGNED TO BE DNW3.0!🔥
A handpicked and curated merge of <strong><u>the best of the best in fantasy world, character & creature design. Should serve as a bit of a swiss army knife / multi-tool to create any and all fantasy art, character concepts, portraits, designs, locations, & even a bit of n00ds. I’ve yet to find what this can’t handle❗🎨
Specializes in painterly, semi realistic to realistic illustration, and artists based prompts, but can do design work, vector illustrations, logos, and a bit of anime as well.
Works best from 7-13.5 CFG and up 20-70 STEPS imho. YMMV!
SHOW ME WHAT YOU MAKE WITH THIS!!😉
Note on the Versions: Keep in mind this merged model has been evolving… So the 1.6 version is not very similar to the 2.2 version or visa-versa. Yes, they both produce good results but the result you get will be different. (I tried to illustrate this in the example images if you flip between versions.) If you find yourself asking “which is the right version?” If you’re new to SD and want an easy ride choose version 1.0 or 1.6 both are consistent and work quite well. I still use 1.6 for some things from time to time. If you want darker more detailed environments and detailed shading choose 2.0 or 2.2 but realize that 2.0 & 2.2 are a little more demanding from the prompt maker in order to get the exact result you want. There is no embedded VAE in this (other than ones included in the merges) but one of these should work fine: (click the links)
☞ https://huggingface.co/stabilityai/sd-vae-ft-mse-original/tree/main (vae-ft-mse-840000-ema-pruned.ckpt)
☞https://huggingface.co/hakurei/waifu-diffusion-v1-4/tree/main/vae (kl-f8-anime2.ckpt)
Note:that the example images are provided as a basis of reference and raw output. In most cases untouched other than mild inpainting for the eyes or face in a few examples.
THESE SHOULD BE EASILY REPRODUCIBLE RESULTS! IF YOU HAVE QUESTIONS PLEASE ASK 🗪
There are pruned & non pruned versions available if you use the pulldown. This is better for merging & testing. Otherwise use the pruned. 👍
🗈 PLEASE NOTE: All of the originals have their own attributions so these must be followed to use this.
Good Luck & Have Fun!
