Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Photorealistic
Base model
Abstract
Timeless
Film
Art
Fenn
Fusch
wildzzz
wavymulder
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/RealTime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/RealTime 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/RealTime", 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 README.md
Verified signature068496e
-
Update README.md
Verified signature9ac739c -
Update README.md
Verified signature45b17d9 -
Update README.md
Verified signature23db6f5 -
Create README.md
Verified signature44d94b5 -
Update model_index.json
Verified signature1681799 -
Upload model_index.json
Verified signaturecb6cfc4 -
Delete model_index.json
Verified signature063dde9 -
Update scheduler/scheduler_config.json
Verified signature4e1e036 -
Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (669bb111eff03141d091dfd8949594a4e8016399)b55d61d -
file
Verified signatureed6f1a9 -
initial commit
Verified signature98ea1f9