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("Mr-J-369/itnsFantasyMerge_v10-SD1.5-qnn2.28", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("agmjd/castonelightv2")

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

https://civitai.com/models/642084/ponyv6-xl-calstone-light-o-or-uma-musume-pretty-derby

Prompt
-

Download model

Download them in the Files & versions tab.

Downloads last month
4
Inference Examples
Examples
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for agmjd/castonelightv2

Adapter
(1)
this model