Instructions to use Muapi/freakazoid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/freakazoid 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/freakazoid") 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:
- d3122894d87f88f7d5b7bf878ab220c52ef78cab1fe5aea8e661ac8ff70fb051
- Size of remote file:
- 4.59 MB
- SHA256:
- 491337ed80d203fdb88718d6bcd61e600d372fe79dd2b769ec7515f4b2139ee5
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