Instructions to use Muapi/cute-animals with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/cute-animals 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/cute-animals") 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:
- b616aeb0b3f03d6a36a32837aae33ca7fbd63e2debf1cdcc3f2529d3e9c96afa
- Size of remote file:
- 144 kB
- SHA256:
- 4fcf6f076aa40f8e0f09d5e9c3c27c96b3427d802632545101a4cf52c261c5e4
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