Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable diffusion
anime
comic book
illustration
realism
Instructions to use EnD-Diffusers/Splatterpunkv15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/Splatterpunkv15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/Splatterpunkv15", 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:
- 7bc2514864930d61158068db04273a9aee1d921c525a92638965e09bc8b1f481
- Size of remote file:
- 1.22 GB
- SHA256:
- ec45b3c657b2756ae6392a8696cea33e4b31827916fc1ee2d23eb979738f5e43
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