How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("zz001/002")

prompt = "-"
image = pipe(prompt).images[0]

11

Prompt
-

Model description

111 XbpD1BVwv8.png

Trigger words

You should use 002 to trigger the image generation.

Download model

Download them in the Files & versions tab.

Downloads last month
-
Inference Examples
Examples
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for zz001/002