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
- Draw Things
- DiffusionBee
- Xet hash:
- 72b13eff19cd7a9c670d837d9241be9899b1319f2e4935a64ad1562b789adffb
- Size of remote file:
- 335 MB
- SHA256:
- 6e91305cd81f7d1387694a231b63de771190b3f2c25591eb71a8c2525cb08397
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