Text-to-Image
Diffusers
StableDiffusionXLPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use Muapi/sdxl-unstable-diffusers-y with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/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("Muapi/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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 35151f5c96e4a57744a7395474cc66bdd9bd47aa191503daea7942001630d9dc
- Size of remote file:
- 5.14 GB
- SHA256:
- a79e37d6c89f5f3249a6261b5f319603e3eaacf00cb4e8c52747f57bad96b8f9
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