Instructions to use frdelga/flux-dev-lora-mateo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use frdelga/flux-dev-lora-mateo 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("frdelga/flux-dev-lora-mateo") prompt = "mde_mateo" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Model tree for frdelga/flux-dev-lora-mateo
Base model
black-forest-labs/FLUX.1-dev