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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b1afc01d3b95cbc4748df268cbe5c0c63c7edc7d57d436cb0e649e80e5efe8aa
- Size of remote file:
- 4.41 GB
- SHA256:
- c312ab6fa28d76e9fb4483a42072826e6795fef72c337504d64f6eb04a3af720
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