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 unet/diffusion_pytorch_model.fp16.safetensors from Yntec/Timeless: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/Yntec/Timeless/resolve/main/unet/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://Yntec/Timeless/unet/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/Yntec/Timeless/resolve/main/unet/diffusion_pytorch_model.fp16.safetensors
1.72 GB
- Xet hash:
- b91ff04fb5a0f528a7faff752a11bead8f3754e834b67d433dbd9c1715c2b7a5
- Size of remote file:
- 1.72 GB
- SHA256:
- 42abc58409fdfcfb0e236e544884494556b18060714c30ac45987389ef3822fe
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