Text-to-Image
Diffusers
StableDiffusionXLPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/ultimatediffusionxlv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/ultimatediffusionxlv1 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/ultimatediffusionxlv1", 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:
- cc08513930f9c0374deeb0fcd3955ffb372b75c4d7d541cb63afc2d2966d68b9
- Size of remote file:
- 1.39 GB
- SHA256:
- a8077f8c6c1a8373d646651749dfd580be11a30b1adaff9f05a16f6addabc50a
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