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
| 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) | |
| <Gallery /> | |
| ## 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](/BlueTriangles/SDXL_Watari_Melmo/tree/main) them in the Files & versions tab. | |