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:
- 4fb483a328956fab1d0eb435affe6b69a891ff0b93ff4ac68a63fc9cf3c3db30
- Size of remote file:
- 492 MB
- SHA256:
- 9aa053e18178e5d3e77937442006c8ba5d3639c2d71729207b51dcc32ad1e9de
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