Instructions to use Muapi/synthwave with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/synthwave with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/synthwave") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 1b6d9b7209649080b51824ce92fc884d706022895f48cd2bccb0be72e216492c
- Size of remote file:
- 86 MB
- SHA256:
- 6ec0ab96657c8a40b11168cb3f208b60ab5fcd8b1aaf03cdc1abfac7136478f5
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