Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Fenn
wildzzz
wavymulder
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Timeless with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Timeless 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/Timeless", 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:
- 113e86956a18cb6d1c8c476924e7c6386b402e32b53c93056abad71853b9a0d3
- Size of remote file:
- 4.2 GB
- SHA256:
- 8bc1f50546c8f2c70f3a2855420a3882d7260b47dfb65f5b752b05041e211f48
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