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
- Draw Things
- DiffusionBee
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:
You can run this model here:
Follow me on Twitter for updates:
For business inquires, commercial licensing, custom models/commissions, large scale image captioning for datasets and consultation contact me under yamer@rundiffusion.com
- Downloads last month
- 184