Instructions to use Shero448/BlackWhiplash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/BlackWhiplash with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/prefect-illustrious-xl-v15-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/BlackWhiplash") prompt = "1girl, solo, bakugou mitsuki, purple shirt, ribbed sweater, blonde hair, mature female, portrait, looking at viewer, simple background, presenting, depth of field, " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
blaash

- Prompt
- 1girl, solo, bakugou mitsuki, purple shirt, ribbed sweater, blonde hair, mature female, portrait, looking at viewer, simple background, presenting, depth of field,
- Negative Prompt
- lowres, worst quality, low quality, bad anatomy, bad hands, multiple views, 4koma, censored, jpeg artifacts
Trigger words
You should use blaash to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 1
Model tree for Shero448/BlackWhiplash
Base model
KBlueLeaf/kohaku-xl-beta5 Finetuned
John6666/prefect-illustrious-xl-v15-sdxl