Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
realistic
photorealistic
realism
2.5D
anime
asian
pose
pony
Instructions to use John6666/hpony-realism-25d-v50rev1-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use John6666/hpony-realism-25d-v50rev1-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/hpony-realism-25d-v50rev1-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:
- c1eb99f6728ef8264e32fdc3a1e37a7a861767e4de74e3a63aa6b6e5a10ebbd2
- Size of remote file:
- 246 MB
- SHA256:
- 0fb5031496bf1ea37c15cf87ed2e53b32c93ca732e75d7082d2be4d96170fe31
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.