Instructions to use tera0711/Checkpoint2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tera0711/Checkpoint2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tera0711/Checkpoint2") prompt = "UNICODE\u0000\u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000s\u0000w\u0000e\u0000a\u0000t\u0000e\u0000r\u0000,\u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\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: | |
| - output: | |
| url: images/majicmixRealistic_v7.png | |
| text: "UNICODE\0\01\0g\0i\0r\0l\0,\0s\0w\0e\0a\0t\0e\0r\0,\0w\0h\0i\0t\0e\0 \0b\0a\0c\0k\0g\0r\0o\0u\0n\0d\0,\0" | |
| base_model: stabilityai/stable-diffusion-3.5-large | |
| instance_prompt: null | |
| license: creativeml-openrail-m | |
| # Checkpoint2 | |
| <Gallery /> | |
| ## Download model | |
| [Download](/tera0711/Checkpoint2/tree/main) them in the Files & versions tab. | |