Instructions to use Muapi/ivory-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/ivory-style 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/ivory-style") 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:
- 3ff9af461c7fc039afbff4c037f0ee46ad6e0d96eccbcbe1abbd5083a6af2778
- Size of remote file:
- 491 kB
- SHA256:
- 6ffe43b35cf62c605f213fc7fc55310358838aba7ddd5df38387dac1c1937959
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