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

- Prompt
- -
Trigger words
You should use Female_in_pain to trigger the image generation.
You should use eyes open to trigger the image generation.
You should use eyes closed to trigger the image generation.
You should use ruined makeup to trigger the image generation.
You should use screaming to trigger the image generation.
You should use biting lips 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 TayTayLiker/ouch
Base model
black-forest-labs/FLUX.1-dev