Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
realistic
photorealistic
asian
western
pony
Instructions to use John6666/eternal-champon-a-v90-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use John6666/eternal-champon-a-v90-sdxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/eternal-champon-a-v90-sdxl", 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:
- 60bc4eed9b8f3c97c9ba6947f2239496d3fc92e0ac26cb3bd95a9cc5a9f84385
- Size of remote file:
- 1.39 GB
- SHA256:
- 6f8ea2b56d0c2c4b219373f110dab6bd949526faeac7c5bd37d15981741d6e66
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.