Instructions to use justmaier/synthwavePunk-v3a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use justmaier/synthwavePunk-v3a with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("justmaier/synthwavePunk-v3a", 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:
- 3d026007e5b48e8d4626525fa21851af70897fe3239ba0ed5724112b14cca39f
- Size of remote file:
- 3.44 GB
- SHA256:
- 9a116efad9c29dcee661023b3676c110fde9fbc23b0ccf8f5f82411e7314068a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.