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:
- 7987aabdc117b0fa445db39a491fd63e4f708359a51d6afd35e92535c9988f0e
- Size of remote file:
- 492 MB
- SHA256:
- 2fe6dce05201adce871cb1ce467691adf6ca9cd7b89c31ae657e8f7d8a5836f0
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