Instructions to use bigbooob/dance123123123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bigbooob/dance123123123 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NucleusAI/Nucleus-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bigbooob/dance123123123") prompt = "-" 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("NucleusAI/Nucleus-Image", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("bigbooob/dance123123123")
prompt = "-"
image = pipe(prompt).images[0]123asd

- Prompt
- -
Trigger words
You should use 123 to trigger the image generation.
Download model
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Model tree for bigbooob/dance123123123
Base model
NucleusAI/Nucleus-Image