Instructions to use glif-loradex-trainer/Angelo-ec24_yyycd_logo_flux1dev_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/Angelo-ec24_yyycd_logo_flux1dev_v6 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("glif-loradex-trainer/Angelo-ec24_yyycd_logo_flux1dev_v6") prompt = "wyvologo, centered on a pure white background, minimal, ultra sharp vector logo, perfect edges" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K