Instructions to use evilblade/POV_Whipping with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use evilblade/POV_Whipping with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-XL-v2.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("evilblade/POV_Whipping") prompt = "UNICODE\u0000\u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000o\u0000r\u0000c\u0000,\u0000 \u0000g\u0000r\u0000e\u0000e\u0000n\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000p\u0000o\u0000i\u0000n\u0000t\u0000y\u0000 \u0000e\u0000a\u0000r\u0000s\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000m\u0000u\u0000s\u0000c\u0000u\u0000l\u0000a\u0000r\u0000 \u0000b\u0000o\u0000d\u0000y\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000o\u0000r\u0000c\u0000 \u0000t\u0000u\u0000s\u0000k\u0000s\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000d\u0000r\u0000e\u0000a\u0000d\u0000l\u0000o\u0000c\u0000k\u0000s\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000n\u0000a\u0000i\u0000l\u0000s\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000t\u0000o\u0000e\u0000n\u0000a\u0000i\u0000l\u0000s\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000i\u0000s\u0000 \u0000n\u0000a\u0000k\u0000e\u0000d\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000n\u0000i\u0000p\u0000p\u0000l\u0000e\u0000s\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000i\u0000s\u0000 \u0000b\u0000a\u0000r\u0000e\u0000f\u0000o\u0000o\u0000t\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
POV_Whipping

- Prompt
- UNICODEfemale orc, green female, female has pointy ears, female has muscular body, female has orc tusks, female has black hair, female has dreadlocks, female has brown eyes, female has black nails, female has black toenails, female is naked, female has brown nipples, female is barefoot

- Prompt
- UNICODEgoblin girl, green female, female is shortstack, female has chubby body, female has goblin ears, female has sharp teeth, female has short messy hair, female has black hair, female has yellow eyes, female has sharp black nails, female has sharp black toenails, female is barefoot

- Prompt
- UNICODEafrican girl, dark skin, female has chubby body, female has black hair

- Prompt
- UNICODEgoblin girl, green female, female is shortstack, female has chubby body, female has goblin ears, female has sharp teeth, female has short messy hair, female has black hair, female has yellow eyes, female has sharp black nails, female has sharp black toenails, female is barefoot

- Prompt
- UNICODEin dundeon, stone walls, stone floor

- Prompt
- UNICODEin dundeon, stone walls, stone floor

- Prompt
- UNICODEin dundeon, stone walls, stone floor
Model description
Like the name says it generates to POV perspective of whipping.
Trigger is:
pov_whipping
Also you can try prompts like:
pov view, whip from pov, female has whipmarks, whip striking ass
Trigger words
You should use pov_whipping to trigger the image generation.
Download model
Download them in the Files & versions tab.
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