Instructions to use Muapi/flux-lettering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/flux-lettering 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/flux-lettering") 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:
- 211fa8c90a854c3948144404ef004401cd5338086a50b67861e67fdd1f70dc0c
- Size of remote file:
- 188 kB
- SHA256:
- f7f362d9ecd97d1d0e936acf39a7c3621cd86bf81da38761a1234a569ef981b6
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