Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Realism
Splash,
Explosion
Jehovah
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Splash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Splash 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/Splash", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 089c29fd66d5fec75b3a911b45f6fa168fc5ca0aa8d552f3c14c8c3834d73996
- Size of remote file:
- 2.82 GB
- SHA256:
- e1d1c37f8e58a8815505850d614ea66ca259b6ef83a9a908d64b674cfd43f601
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.