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 Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.fp16.safetensors from Yntec/Splash: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Yntec/Splash/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://Yntec/Splash/vae/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/Yntec/Splash/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
167 MB
- Xet hash:
- 17d99792a6da6c547ddd76d2237ca8c103cfcc6a8eb3ed28ee0026f0c76a69a2
- Size of remote file:
- 167 MB
- SHA256:
- 4eb59f5cb4c7ca388a01310a1bba02037601a87f0c881059911430562033ae12
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