Instructions to use ankit1478/frosting_lane_flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ankit1478/frosting_lane_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("ankit1478/frosting_lane_flux") prompt = "a small girl with a big grin, confident, on their toes, holding a sign that says \"I LOVE PROMPTS!\" frstingln illustration" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
rosting_lane_flux

- Prompt
- a small girl with a big grin, confident, on their toes, holding a sign that says "I LOVE PROMPTS!" frstingln illustration
- Negative Prompt
- bad, messy
Trigger words
You should use frstingln illustration to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 10
Model tree for ankit1478/frosting_lane_flux
Base model
black-forest-labs/FLUX.1-dev