Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Realism
Scifi
Portrait
davcha
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/endlessReality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/endlessReality 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/endlessReality", 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:
- 61c65fb37e463b14c5140c47920cb324116b6b4a2a6dc81c2af1aa786a6ca25a
- Size of remote file:
- 492 MB
- SHA256:
- 7185628be83547d1d1a6493568872c0e8fc7e37de4dd6b3df8d1735793766450
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