Instructions to use den123/Aggr_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use den123/Aggr_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("den123/Aggr_style") prompt = "aggressive Wolf collage poster, detailed" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Aggr

- Prompt
- aggressive Wolf collage poster, detailed
Model description
Style
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for den123/Aggr_style
Base model
black-forest-labs/FLUX.1-dev