Instructions to use Turdusfitjulian5106/freelo-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Turdusfitjulian5106/freelo-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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Turdusfitjulian5106/freelo-style") prompt = "freelo_style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9a809fd0991c018aba91f704f3807f163e74c418a2d4037d8bdd1b56f75beb8e
- Size of remote file:
- 89.7 MB
- SHA256:
- a637fbfe19a7a89eccd08670821e04c678c4b064644b8d6342921260263108c2
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