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", 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
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Tasty-Rice/lora-all", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]all lora description you can go these website.
Overseas website;
| web1 | web2 | web3 | web4 |
|---|---|---|---|
| Huggingface | Civitai | TensorArt | shakker |
China text-to-image generative model Website;
LibLibAIThis 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.
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