Text-to-Image
Diffusers
StableDiffusionXLPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/sdxl-unstable-diffusers-y with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/sdxl-unstable-diffusers-y with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/sdxl-unstable-diffusers-y", 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
- Xet hash:
- 0c697ebf0b9210f0dc35bf0fb4b0879e0e3e0c3d7c765508c3f41536d7f9f3da
- Size of remote file:
- 167 MB
- SHA256:
- 73a7c4c5391cea82da350a203434937169bc110063ce8ed07d1f6c9349798666
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