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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9e34cbbec8137b703a77246d9ae27d5d0479feb9111ecc357395a702fd9a90ec
- Size of remote file:
- 3.44 GB
- SHA256:
- 0fea005443d22a330fa5d0945e4f219a7c07b91f0730c4c1513b5fa1756c2b59
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