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

- Prompt
- G-String,

- Prompt
- wide angled, full body shot of a Sexy blonde woman, turned sideways and looking over her shoulder toward viewer, wearing a strappy, high cut, green G-String and matching bra

- Prompt
- front view of a strappy, red lace, high cut g-string

- Prompt
- front side view of a strappy, glossy black latex strappy high cut G-String with tie sides and cut outs
Trigger words
You should use G-String, 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 Kiefels/g-strings-flux
Base model
black-forest-labs/FLUX.1-dev