Instructions to use Muapi/ctai-tribe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/ctai-tribe 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/ctai-tribe") 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:
- 0bfd0f6716d4d171bbab3978a39c11eab3377589775de366b882f6bb08e41332
- Size of remote file:
- 151 kB
- SHA256:
- f1807ddc932c6019d49e1f2fdbcd09a2abde86007707a1680dbbd20eb50616c8
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