Instructions to use jump123/nsotuluyen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jump123/nsotuluyen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jump123/nsotuluyen") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
tuluyen

- Prompt
- -
Trigger words
You should use nsotuluyen to trigger the image generation.
Download model
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Model tree for jump123/nsotuluyen
Base model
KBlueLeaf/kohaku-xl-beta5