Instructions to use Muapi/hypno-wave with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/hypno-wave with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/hypno-wave") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- c88b2807a7d948e8dcbbe923a910a8d5d704bffee2e0d9b4d96c6053a58ca691
- Size of remote file:
- 393 kB
- SHA256:
- 4c31471620196a4a6f6475d998d48ed18a95484a2edf4df44e7e19db7ab9bbba
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