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
| 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 |