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", 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:
- 5d8cff764dc9195f92fa9236fb2b81cb33a87a766c4cd78eadffea10f98ca3f5
- Size of remote file:
- 492 MB
- SHA256:
- f07b54bfefbad46bcc8d9218b50db28f57ffd4989cf742484c6bbb8db07af178
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