How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Yntec/NovelAIRemix", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

NovelAIRemix

NovelAI mixed with SD1.5.

Sample and prompt:

sample

sitting elementary girl, Pretty CUTE, gorgeous hair, Magazine ad, iconic, 1943, Cartoon, sharp focus, 4k. beautiful art on canvas by kyoani and ROSSDRAWS and ross tran. DETAILED CHIBI

Check out:

https://huggingface.co/Yntec/NovelAI

Recipe

SD1.4Full + fp16 - no-ema = SD1.4 (https://huggingface.co/Yntec/NovelAIRemix/resolve/main/sd-v1-4-fp16-no-ema.safetensors)

SD1.5Full + fp16 - no-ema = SD1.5 (https://huggingface.co/Yntec/DreamLikeRemix/resolve/main/v1-5-pruned-fp16-no-ema.safetensors)

Add Difference (SD1.4 + (SD1.4 - SD1.5)*1)=SD1.5Essence (https://huggingface.co/Yntec/NovelAIRemix/resolve/main/SD1.5Essence.safetensors)

Weighted Sum (SD1.5Essence * (1 - 0.7) + NovelAIFull * 0.7) = NovelAISD1.5

Weighted Sum (NovelAISD1.5 * (1 - 0.7) + NovelAISFW * 0.7) = NovelAIRemix

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