Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Style
Getsc
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/SCMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/SCMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/SCMix", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 857 Bytes
2c5f052 261ddfd f6db161 261ddfd f6db161 2c5f052 b82a510 68f62ba f6db161 c8b3780 b82a510 f6db161 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Style
- Getsc
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
# SCMix
Safetensors version of this model with the MoistMixV2 VAE baked in.
Comparison:

(Click for larger)
Sample and prompt:

best quality, masterpiece, 1girl, outside, park, shrine, leaning forward, hair ornament, earrings, traditional kimono, flower pattern,blushing,embarrased, brown extra long hair, smiling, spoken heart,solo
Original page: https://civitai.com/models/19809?modelVersionId=23515 |