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:
- d8d97b0d1b1f82822ac2e9a20e88dcaa583ff4c1f04e77769f5a528116ca93a4
- Size of remote file:
- 167 MB
- SHA256:
- d3485d3af715c8fb3bb33435ac0633de3590717836c3370c004bc18d3e4b6dc2
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