Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Base Model
Person
Sexy
saftle
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/UberRealisticLegacy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/UberRealisticLegacy 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/UberRealisticLegacy", 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:
- e62f6279772777035446ee698256422783fa1d8c63d8776dc9da46acae13dd74
- Size of remote file:
- 167 MB
- SHA256:
- 77526dc3834eb6866790616ac9b51fca33d41336096bcaf4b4f01c14b719268d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.