Instructions to use Tasty-Rice/lora-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tasty-Rice/lora-all with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tasty-Rice/lora-all", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: artistic-2.0 | |
| library_name: diffusers | |
| pipeline_tag: text-to-image | |
| tags: | |
| - art | |
| ## all lora description you can go these website. | |
| ## Overseas website; | |
| | web1 | web2 | web3 | web4 | | |
| |--------|--------|--------|--------| | |
| | [Huggingface](https://huggingface.co/Tasty-Rice) | [Civitai](https://civitai.com/user/Tasty_Rice) | [TensorArt](https://tensor.art/u/678859606205704728) | [shakker](https://www.shakker.ai/userpage/6a54842e3a3a4491854e2b0b9af876e6/publish) | | |
| ### China text-to-image generative model Website; | |
| | web1 | web2 | | |
| |--------|--------| | |
| | [LibLibAI](https://www.liblib.art/userpage/99d29ad5db474146abbd70752f534981/publish) | [TusiArt](https://tusi.cn/u/661137278105696783) | | |
| [LibLibAI](https://www.liblib.art/userpage/99d29ad5db474146abbd70752f534981/publish)This website will be accept updates, The first. | |
| My model is currently only released on the above websites, and the progress is not uniform. If you see it on other websites, it is unauthorized transfer. |