DreamShaper 3.31 and 3.32 (clipfix)Check the version description below (bottom right) for more info and add a ❤️ to receive future updates. Do you like what I do? Feel free to buy me a coffee ☕ Live demo available on HuggingFace (CPU is slow but free). Also available on sinkin.ai with GPU acceleration and free trial: https://sinkin.ai/m/4zdwGOB.
NOTES
Results of the "clip fix" version will vary from the examples (produced on 3.31, which I personally prefer). I get no money from any generative service, but you can buy me a coffee. I personally prefer v3.31, but you should use 3.32 for mixing, so the clip error doesn't spread.
After a lot of tests I'm finally releasing my mix. This started as a model to make good portraits that do not look like cg or photos with heavy filters, but more like actual paintings. The result is a model capable of doing portraits like I wanted, but also great backgrounds and anime-style characters. Below you can find some suggestions, including LoRA networks to make anime style images.
I hope you'll enjoy it as much as I do.
Diffuser weights (courtesy of /u/Different-Bet-1686): https://huggingface.co/Lykon/DreamShaper Official HF repository: https://huggingface.co/Lykon/DreamShaper
Suggested settings: - As VAE I used kl-f8-anime2. UPDATE: baked_vae versions don't require this - I had CLIP skip 2 on some pics - I had ENSD: 31337 for basically all of them - All of them had highres.fix with 4x foolhardy remacri (for precision) or Latent (for more artistic effects) - I don't use restore faces, as it washes out the painting effect - For anime-screenshot or anime artwork effect I suggest to use one of these LoRA networks at 0.35 strength: -- https://civitai.com/models/4219 (the girls with glasses or if it says wanostyle ) -- https://huggingface.co/closertodeath/dpepmkmp/blob/main/last.pt (if it says mksk style ) -- https://civitai.com/models/4982/anime-screencap-style-lora (not used for any example but works great)
NOTE: if you find that the prompts below look "familiar" it's because I've taken them from other reviews and models here, to basically compare my model to other examples. Credits to the original authors. Thanks for the benchmark. |