Instructions to use leonel4rd/Designcharacter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leonel4rd/Designcharacter 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("leonel4rd/Designcharacter") prompt = "UNICODE\u0000\u0000h\u0000i\u0000g\u0000h\u0000r\u0000e\u0000s\u0000,\u0000 \u0000h\u0000i\u0000 \u0000r\u0000e\u0000s\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000i\u0000n\u0000t\u0000r\u0000i\u0000c\u0000a\u0000t\u0000e\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000s\u0000,\u0000 \u0000a\u0000b\u0000s\u0000u\u0000r\u0000d\u0000r\u0000e\u0000s\u0000,\u0000 \u00004\u0000k\u0000,\u0000 \u0000s\u0000e\u0000m\u0000i\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000,\u0000 \u0000C\u0000h\u0000a\u0000r\u0000a\u0000c\u0000t\u0000e\u0000r\u0000D\u0000e\u0000s\u0000i\u0000g\u0000n\u0000I\u0000l\u0000l\u0000u\u0000s\u0000t\u0000r\u0000i\u0000o\u0000u\u0000s\u0000,\u0000 \u0000r\u0000e\u0000f\u0000e\u0000r\u0000e\u0000n\u0000c\u0000e\u0000 \u0000s\u0000h\u0000e\u0000e\u0000t\u0000,\u0000 \u0000s\u0000i\u0000m\u0000p\u0000l\u0000e\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000 \u0000g\u0000u\u0000i\u0000d\u0000e\u0000,\u0000 \u0000(\u0000m\u0000u\u0000l\u0000t\u0000i\u0000p\u0000l\u0000e\u0000 \u0000v\u0000i\u0000e\u0000w\u0000s\u0000)\u0000,\u0000 \u0000(\u0000f\u0000u\u0000l\u0000l\u0000 \u0000b\u0000o\u0000d\u0000y\u0000)\u0000,\u0000 \u0000d\u0000y\u0000n\u0000a\u0000m\u0000i\u0000c\u0000 \u0000p\u0000o\u0000s\u0000e\u0000,\u0000" 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: "UNICODE\0\0h\0i\0g\0h\0r\0e\0s\0,\0 \0h\0i\0 \0r\0e\0s\0,\0 \0b\0e\0s\0t\0 \0q\0u\0a\0l\0i\0t\0y\0,\0 \0m\0a\0s\0t\0e\0r\0p\0i\0e\0c\0e\0,\0 \0i\0n\0t\0r\0i\0c\0a\0t\0e\0 \0d\0e\0t\0a\0i\0l\0s\0,\0 \0a\0b\0s\0u\0r\0d\0r\0e\0s\0,\0 \04\0k\0,\0 \0s\0e\0m\0i\0 \0r\0e\0a\0l\0i\0s\0t\0i\0c\0,\0,\0 \0C\0h\0a\0r\0a\0c\0t\0e\0r\0D\0e\0s\0i\0g\0n\0I\0l\0l\0u\0s\0t\0r\0i\0o\0u\0s\0,\0 \0r\0e\0f\0e\0r\0e\0n\0c\0e\0 \0s\0h\0e\0e\0t\0,\0 \0s\0i\0m\0p\0l\0e\0 \0w\0h\0i\0t\0e\0 \0b\0a\0c\0k\0g\0r\0o\0u\0n\0d\0,\0 \0c\0o\0l\0o\0r\0 \0g\0u\0i\0d\0e\0,\0 \0(\0m\0u\0l\0t\0i\0p\0l\0e\0 \0v\0i\0e\0w\0s\0)\0,\0 \0(\0f\0u\0l\0l\0 \0b\0o\0d\0y\0)\0,\0 \0d\0y\0n\0a\0m\0i\0c\0 \0p\0o\0s\0e\0,\0" | |
| output: | |
| url: images/00029-1033252060.jpeg | |
| base_model: OnomaAIResearch/Illustrious-xl-early-release-v0 | |
| instance_prompt: >- | |
| CharacterDesignIllustrious, reference sheet, simple white background, (color | |
| guide:1.2), (multiple views), (full body), dynamic pose | |
| # Designcharacterv1 | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `CharacterDesignIllustrious` to trigger the image generation. | |
| You should use `reference sheet` to trigger the image generation. | |
| You should use `simple white background` to trigger the image generation. | |
| You should use `(color guide:1.2)` to trigger the image generation. | |
| You should use `(multiple views)` to trigger the image generation. | |
| You should use `(full body)` to trigger the image generation. | |
| You should use `dynamic pose` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/leonel4rd/Designcharacter/tree/main) them in the Files & versions tab. | |