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:
- 74e2c613914024256a3201d6e1ff80ef56d471a2f7dc0e671a2c2bf537547354
- Size of remote file:
- 492 MB
- SHA256:
- 9440e9d484d19e31c0f726fb8e18a4e31c1112e21186eea7857f436011fbf9ff
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