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("ostris/Z-Image-De-Turbo", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Yume02/Lordv2")

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

Lord Voldemort

Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-

Model description

Lord Voldemort LoRa training with ZiT de distilled.

Recommanded weight: 0.8-1.0

Trigger words

You should use lordv to trigger the image generation.

Download model

Download them in the Files & versions tab.

Downloads last month
2
Inference Examples
Examples
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Yume02/Lordv2

Adapter
(3)
this model