Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Photography
Realism
Celebrities
wavymulder
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/TimelessDiffusion768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/TimelessDiffusion768 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/TimelessDiffusion768", 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
- Draw Things
- DiffusionBee
- Xet hash:
- a5a14053916a4afae351261449f3fa3e930c5d4c5a8487a2030985c036e16091
- Size of remote file:
- 246 MB
- SHA256:
- e83994db649b79a32ccb06d60644bb188fea6160a90837a779353374740e8bc4
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