Instructions to use Benevolent/AnimeFeetV4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Benevolent/AnimeFeetV4 with Diffusers:

pip install -U diffusers transformers accelerate

import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Benevolent/AnimeFeetV4")

prompt = "UNICODE\u0000\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00009\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00008\u0000_\u0000u\u0000p\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00007\u0000_\u0000u\u0000p\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00006\u0000_\u0000u\u0000p\u0000,\u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00009\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00008\u0000_\u0000u\u0000p\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00007\u0000_\u0000u\u0000p\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00006\u0000_\u0000u\u0000p\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00005\u0000_\u0000u\u0000p\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00004\u0000_\u0000u\u0000p\u0000,\u0000 \u00001\u0000b\u0000o\u0000y\u0000,\u0000 \u0000n\u0000s\u0000f\u0000w\u0000,\u0000 \u0000e\u0000x\u0000p\u0000-\u0000f\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000l\u0000e\u0000g\u0000w\u0000e\u0000a\u0000r\u0000:\u00001\u0000.\u00002\u0000,\u0000 \u0000p\u0000e\u0000n\u0000i\u0000s\u0000,\u0000 \u0000c\u0000u\u0000m\u0000,\u0000 \u0000f\u0000e\u0000e\u0000t\u0000,\u0000 \u0000b\u0000e\u0000a\u0000u\u0000t\u0000i\u0000f\u0000u\u0000l\u0000 \u0000f\u0000a\u0000c\u0000e\u0000,\u0000 \u0000t\u0000e\u0000x\u0000t\u0000i\u0000l\u0000e\u0000 \u0000s\u0000h\u0000a\u0000d\u0000i\u0000n\u0000g\u0000,\u0000 \u0000s\u0000e\u0000c\u0000r\u0000e\u0000t\u0000a\u0000r\u0000y\u0000:\u00001\u0000.\u00004\u0000,\u0000 \u0000g\u0000l\u0000a\u0000s\u0000s\u0000e\u0000s\u0000:\u00001\u0000.\u00002\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000:\u00001\u0000.\u00003\u0000,\u0000 \u0000e\u0000m\u0000b\u0000a\u0000r\u0000r\u0000a\u0000s\u0000s\u0000e\u0000d\u0000:\u00001\u0000.\u00002\u0000,\u0000 \u0000o\u0000p\u0000e\u0000n\u0000 \u0000m\u0000o\u0000u\u0000t\u0000h\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000m\u0000e\u0000d\u0000i\u0000u\u0000m\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000s\u0000t\u0000r\u0000a\u0000i\u0000g\u0000h\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000s\u0000w\u0000e\u0000a\u0000t\u0000:\u00001\u0000.\u00003\u0000,\u0000 \u0000f\u0000o\u0000o\u0000t\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000,\u0000 \u0000p\u0000e\u0000n\u0000i\u0000s\u0000,\u0000 \u0000s\u0000o\u0000l\u0000e\u0000s\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000l\u0000e\u0000g\u0000w\u0000e\u0000a\u0000r\u0000:\u00001\u0000.\u00003\u0000,\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000b\u0000e\u0000h\u0000i\u0000n\u0000d\u0000:\u00001\u0000.\u00003\u0000,\u0000 \u0000s\u0000i\u0000t\u0000t\u0000i\u0000n\u0000g\u0000 \u0000c\u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000o\u0000f\u0000f\u0000i\u0000c\u0000e\u0000,\u0000 \u0000l\u0000e\u0000g\u0000s\u0000 \u0000t\u0000o\u0000g\u0000e\u0000t\u0000h\u0000e\u0000r\u0000,\u0000 \u0000p\u0000o\u0000v\u0000"
image = pipe(prompt).images[0]

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings
Draw Things
DiffusionBee

AnimeFeet

Prompt

UNICODE score_9, score_8_up, score_7_up, score_6_up,score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, 1boy, nsfw, exp-f, black legwear:1.2, penis, cum, feet, beautiful face, textile shading, secretary:1.4, glasses:1.2, 1girl:1.3, embarrassed:1.2, open mouth, black hair, medium hair, straight hair, blue eyes, sweat:1.3, foot focus, penis, soles, black legwear:1.3, from behind:1.3, sitting chair, office, legs together, pov

Trigger words

You should use FeetV4 to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Downloads last month: 4

Model tree for Benevolent/AnimeFeetV4

Base model

stabilityai/stable-diffusion-xl-base-1.0

Adapter

(9684)

this model