Instructions to use leonel4rd/Anything with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leonel4rd/Anything with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("leonel4rd/Anything") prompt = "UNICODE\u0000\u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000b\u0000a\u0000n\u0000g\u0000s\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000_\u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000_\u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000c\u0000l\u0000o\u0000s\u0000e\u0000d\u0000_\u0000m\u0000o\u0000u\u0000t\u0000h\u0000,\u0000 \u0000e\u0000l\u0000e\u0000c\u0000t\u0000r\u0000i\u0000c\u0000i\u0000t\u0000y\u0000,\u0000 \u0000e\u0000y\u0000e\u0000b\u0000r\u0000o\u0000w\u0000s\u0000_\u0000v\u0000i\u0000s\u0000i\u0000b\u0000l\u0000e\u0000_\u0000t\u0000h\u0000r\u0000o\u0000u\u0000g\u0000h\u0000_\u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000_\u0000b\u0000e\u0000t\u0000w\u0000e\u0000e\u0000n\u0000_\u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000h\u0000a\u0000t\u0000s\u0000u\u0000n\u0000e\u0000_\u0000m\u0000i\u0000k\u0000u\u0000,\u0000 \u0000l\u0000o\u0000n\u0000g\u0000_\u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000_\u0000a\u0000t\u0000_\u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000 \u0000m\u0000a\u0000g\u0000i\u0000c\u0000,\u0000 \u0000s\u0000m\u0000i\u0000l\u0000e\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("leonel4rd/Anything")
prompt = "UNICODE\u0000\u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000b\u0000a\u0000n\u0000g\u0000s\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000_\u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000_\u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000c\u0000l\u0000o\u0000s\u0000e\u0000d\u0000_\u0000m\u0000o\u0000u\u0000t\u0000h\u0000,\u0000 \u0000e\u0000l\u0000e\u0000c\u0000t\u0000r\u0000i\u0000c\u0000i\u0000t\u0000y\u0000,\u0000 \u0000e\u0000y\u0000e\u0000b\u0000r\u0000o\u0000w\u0000s\u0000_\u0000v\u0000i\u0000s\u0000i\u0000b\u0000l\u0000e\u0000_\u0000t\u0000h\u0000r\u0000o\u0000u\u0000g\u0000h\u0000_\u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000_\u0000b\u0000e\u0000t\u0000w\u0000e\u0000e\u0000n\u0000_\u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000h\u0000a\u0000t\u0000s\u0000u\u0000n\u0000e\u0000_\u0000m\u0000i\u0000k\u0000u\u0000,\u0000 \u0000l\u0000o\u0000n\u0000g\u0000_\u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000_\u0000a\u0000t\u0000_\u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000 \u0000m\u0000a\u0000g\u0000i\u0000c\u0000,\u0000 \u0000s\u0000m\u0000i\u0000l\u0000e\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000"
image = pipe(prompt).images[0]Anything

- Prompt
- UNICODE1girl, bangs, blue_eyes, blue_hair, closed_mouth, electricity, eyebrows_visible_through_hair, hair_between_eyes, hatsune_miku, long_hair, looking_at_viewer, magic, smile, solo
- Negative Prompt
- ugly,duplicate,fused fingers,extra fingers,too many fingers,long neck,deformed,mutation,disfigured,text,calm,roughness,Matte texture,The graphics crash,cranny,extra limbs,extra legs,Wrong lighting,More than six fingers,Low resolution,Simple background,Wrong human proportions,Serious expression,Low-quality images,Banal effect,Low object accuracy,
Trigger words
You should use girl to trigger the image generation.
You should use background 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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