Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General Purpose
Futuristic
Nature
526christian
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/526 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/526 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/526", 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:
- 99d30e6abdead4c9a0a92633b8e9d8c1e466c0cb544cbde0d5f56115c475f55d
- Size of remote file:
- 492 MB
- SHA256:
- 8632367306ca9de1670dad669655b7d98e992696cff388889e1925b32f86fc43
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.