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
Commit History
-
Update scheduler/scheduler_config.json
2d05085
-
Update scheduler/scheduler_config.json
9ffb9e8 -
Update scheduler/scheduler_config.json
adc7d77 -
Update scheduler/scheduler_config.json
89cad3d -
Update scheduler/scheduler_config.json
d9cee12 -
Update scheduler/scheduler_config.json
00e386e -
Update scheduler/scheduler_config.json
444bc64 -
Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (63edfb6ab35059b03b949cb6acfcdb11145f23e2)8afecda