Instructions to use FilipAura/filipaura-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FilipAura/filipaura-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("FilipAura/filipaura-style") prompt = "in the style of ohwxfilipaura" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
filipaura style
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- in the style of ohwxfilipaura
Trigger words
You should use in the style of ohwxfilipaura to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for FilipAura/filipaura-style
Base model
black-forest-labs/FLUX.1-dev