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:
- 8d19d58bcaf2659d30ebed0b3c7113e49a5297d0b67243f924d59730d697b1bd
- Size of remote file:
- 167 MB
- SHA256:
- be7d3f6630c9243ec5de3a29278e2e4eda68f79bc137fdd61d521a7764e83c29
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