Text-to-Image
Diffusers
ONNX
Safetensors
OpenVINO
English
StableDiffusionPipeline
art
anime
stable diffusion
lcm
latent consistency model
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Disty0/LCM_SoteMix", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]A Stable Diffusion 1.5 anime model with LCM that allows image generation with only 4 steps.
More details on LCM: https://latent-consistency-models.github.io/
Original SoteMix is available here:
https://huggingface.co/Disty0/SoteMix
Coverted to LCM with this script:
https://github.com/vladmandic/automatic/blob/master/cli/lcm-convert.py
Positive Prompts:
(masterpiece, best quality, highres), 1girl,
Negative Prompts:
(worst quality, low quality, lowres), zombie, interlocked fingers,
Sampler: LCM
Steps: 4-8
Clip Skip: 1
CFG: 0 or 1
Base Resolution: 512x / 768x / 1024x / 768x1280
Second Pass / Hires:
Sampler: LCM
Steps: 2-6
Upscaler: RealESRGAN 4x+ Anime6B / ESRGAN 4x-AnimeSharp with 0.3-0.4 denoise strength.
CFG: 0 or 1
Resolution: 2x of the base resolution.
Mege:
0.7(0.75(0.75(0.75(0.75(0.75(0.5(SomethingV2_2) + 0.5(meinapastel_v5Anime)) + 0.25(meinaalter_v2)) + 0.25(meinamix_meinaV9)) + 0.25(nyanMix_230303Intense)) + 0.25(mixProV4_v4)) + 0.25(breakdomain_M2150)) + 0.3(0.4(SomethingV2_2) + 0.6(meinapastel_v5Anime))
And baked in Blessed2 VAE
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