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:
- 47adce58fcaecf35848663eb3f02ac8addbf483e379d2295b1645b19543777ee
- Size of remote file:
- 1.39 GB
- SHA256:
- de1a8aacdf16117f96607c5b90fc28297fb36d36860b53298a6fd3a0821e1b51
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