Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
Eldreths
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/OG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/OG 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/OG", torch_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:
- ebfa3a7ce99c0aaab75b331e4aaa6609fa4e7712aa5b478f236d06a0d353060c
- Size of remote file:
- 246 MB
- SHA256:
- 184095a18a6f83ef44157e8e9466842f86ee614cd0f69611124199f3a1e22fe7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.