Instructions to use bluejaytay/Octavia_yng_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bluejaytay/Octavia_yng_1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/NoobAI-XL-Vpred-v1.0-SDNQ-uint4-svd-r128", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bluejaytay/Octavia_yng_1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Octavia

- Prompt
- -
Trigger words
in json file
Download model
Download them in the Files & versions tab.
- Downloads last month
- 9
Model tree for bluejaytay/Octavia_yng_1
Base model
Laxhar/noobai-XL-Vpred-0.5 Finetuned
Laxhar/noobai-XL-Vpred-0.6 Finetuned
Laxhar/noobai-XL-Vpred-0.65 Finetuned
Laxhar/noobai-XL-Vpred-0.75 Finetuned
Laxhar/noobai-XL-Vpred-1.0