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", 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:
- bc9225843b88de5e6238970ba37c0e3c8860b5416e4d4098d4131398116eaec9
- Size of remote file:
- 4.27 GB
- SHA256:
- 5727a4e7e23e7340bc9f7488e50ae8a928d4e75e80db1860c7f0082a99c6db81
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