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:
- fc8edbddb8c61bdf7a9071a611a1c8e16a6a78cf574262d2280a5e3b98d129ea
- Size of remote file:
- 2.3 GB
- SHA256:
- 2eca86c13c7412cca89cf22168c340d06bfee9068cfb5d7bdf5d066d5e86405d
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