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
Download text_encoder/model.fp16.safetensors from Yntec/Timeless: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Yntec/Timeless/resolve/refs%2Fpr%2F6/text_encoder/model.fp16.safetensors
- Command line
-
hf download hf://Yntec/Timeless@refs/pr/6/text_encoder/model.fp16.safetensors
-
curl -L -o model.fp16.safetensors https://huggingface.co/Yntec/Timeless/resolve/refs%2Fpr%2F6/text_encoder/model.fp16.safetensors
246 MB
- Xet hash:
- 66a6553ab6222f91fe0c3ad8ad79d66857dbccaa1bb1581f3a36a2501c7dcd60
- Size of remote file:
- 246 MB
- SHA256:
- cfd8ddc07e22112f016ec13868b39e8e1507ed9d6498fd5e91aac86c59426cdc
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