Instructions to use Yamer-AI/SDXL_Unstable_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yamer-AI/SDXL_Unstable_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yamer-AI/SDXL_Unstable_Diffusers", 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: 723 Bytes
75227d9 8976f51 75227d9 8976f51 75227d9 8976f51 75227d9 8976f51 2c9ca3c 8976f51 ee42d10 9a87288 8976f51 9a87288 8976f51 9a87288 8976f51 f042aaf | 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 | ---
language:
- en
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
- anime
inference: false
---
# Unstable Diffusers
## Official Repository
Read more about this model here: https://civitai.com/models/84040
Also please support by giving 5 stars and a heart, which will notify new updates.
Please consider supporting me on Ko-fi:
- https://ko-fi.com/yamer
You can run this model here:
- https://rundiffusion.com
Follow me on Twitter for updates:
- https://twitter.com/YamerOfficial
For business inquires, commercial licensing, custom models/commissions, large scale image captioning for datasets and consultation contact me under yamer@rundiffusion.com |