Instructions to use LandonAbundre/ShallowSlopeTiddies with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LandonAbundre/ShallowSlopeTiddies 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("LandonAbundre/ShallowSlopeTiddies") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
ShallowSlopeTiddies

- Prompt
- -
Model description
This LoRa has a shallower slope that is more in line with the 45:55 Golden Tiddy Ratio. 0.75 Sweet Spot.
Trigger words
You should use ShallowSlopeTiddies to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for LandonAbundre/ShallowSlopeTiddies
Base model
black-forest-labs/FLUX.1-dev