Instructions to use BlueTriangles/SDXL_Watari_Melmo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BlueTriangles/SDXL_Watari_Melmo 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-v2.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("BlueTriangles/SDXL_Watari_Melmo") prompt = "sdxl-watari-melmo" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/20260724123118-3392770655.jpg
text: sdxl-watari-melmo
- output:
url: images/20260724123123-3392770657.jpg
text: sdxl-watari-melmo
- output:
url: images/20260724123123-3392770658.jpg
text: sdxl-watari-melmo
- output:
url: images/20260724123241-3129921742.jpg
text: sdxl-watari-melmo
- output:
url: images/20260724123241-3129921743.jpg
text: sdxl-watari-melmo
- output:
url: images/20260724123306-2516672123.jpg
text: sdxl-watari-melmo
base_model: OnomaAIResearch/Illustrious-XL-v2.0
instance_prompt: sdxl-watari-melmo
license: cc-by-nc-sa-4.0
Watari Melmo / Marvelous Melmo(渡メルモ in ふしぎなメルモ)

- Prompt
- sdxl-watari-melmo

- Prompt
- sdxl-watari-melmo

- Prompt
- sdxl-watari-melmo

- Prompt
- sdxl-watari-melmo

- Prompt
- sdxl-watari-melmo

- Prompt
- sdxl-watari-melmo
Model description
Trained by 16 images for 380 steps.
Appearance: sdxl-watari-melmo, black hair, short hair, brown eyes, ahoge, flat chest, petite
Trigger words
You should use sdxl-watari-melmo to trigger the image generation.
Download model
Download them in the Files & versions tab.