Instructions to use Emyrus/LITEmix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Emyrus/LITEmix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Emyrus/LITEmix", 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: 1,167 Bytes
20d2c4d ac3c8d5 8b7d019 20d2c4d 8b7d019 fe6092c 8b7d019 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ---
license: creativeml-openrail-m
library_name: diffusers
tags:
- stable-diffusion
- text-to-image
language:
- en
---
An anime model trained in only a few steps, then mixed with evt_v2 and momocha models. \
examples: \




|