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

- Prompt
- ggging on a bike

- Prompt
- ggging in a car

- Prompt
- ggging in the city
Trigger words
You should use ggging 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 borisf/women-ggging
Base model
black-forest-labs/FLUX.1-dev