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

- Prompt
- -
Trigger words
You should use upskirt to trigger the image generation.
You should use mooning to trigger the image generation.
You should use lifting up her skirt to trigger the image generation.
You should use skirt blowing up in the wind to trigger the image generation.
You should use dress blowing up in the wind to trigger the image generation.
You should use lifting up her dress to trigger the image generation.
You should use legs up in the air to trigger the image generation.
You should use legs spread out to trigger the image generation.
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 SpiderSteeped/moon
Base model
black-forest-labs/FLUX.1-dev