Instructions to use Manityro/Veridium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Manityro/Veridium with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Laxhar/noobai-XL-1.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Manityro/Veridium") prompt = "masterpiece, best quality, 1girl, scenery, volumetric lighting, green eyes, freckles, short hair, white hair, green colored tips, green streaked hair, crossed bangs, hair intakes, long sidelocks, black hairband, medium breasts," 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: | |
| - text: >- | |
| masterpiece, best quality, 1girl, scenery, volumetric lighting, green eyes, | |
| freckles, short hair, white hair, green colored tips, green streaked hair, | |
| crossed bangs, hair intakes, long sidelocks, black hairband, medium breasts, | |
| parameters: | |
| negative_prompt: worst quality, low quality, bad anatomy, watermark, mole, | |
| output: | |
| url: images/34990-20250310033244.png | |
| base_model: Laxhar/noobai-XL-1.1 | |
| instance_prompt: null | |
| license: creativeml-openrail-m | |
| # Veridium | |
| <Gallery /> | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/Manityro/Veridium/tree/main) them in the Files & versions tab. | |