Instructions to use agmjd/castonelightv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use agmjd/castonelightv2 with Diffusers:
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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("agmjd/castonelightv2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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.
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Model tree for agmjd/castonelightv2
Base model
Mr-J-369/itnsFantasyMerge_v10-SD1.5-qnn2.28