Instructions to use Muapi/karthago with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/karthago 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/karthago") 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:
- c9e3154a9b12234f8f8b1167c37a5e1d27eab10276baefaf0c3cf28524a2ef2d
- Size of remote file:
- 105 kB
- SHA256:
- 8075f3cefbb801469091fc9c0f66c9466d430de32e45bc4f8c528eb0447cccd8
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