Instructions to use Rita7th/XL_Lora_Storage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rita7th/XL_Lora_Storage with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rita7th/XL_Lora_Storage") 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
- 画風や色彩などのLora置き場。
- Lora storage for painting styles, colors, etc.
ぼかし / Blur
- 背景をぼかします。マイナスにすると背景がくっきりになります。
想定の数値は0.5~1.0あたり。 - Blur the background. A negative value will make the background clearer.
The expected value is around 0.5 to 1.0.
BlurSlider_A_XL
Download Lora/Thumbnail
BlurSlider_B_XL
Download Lora/Thumbnail
パステル化 / Pastel
- 色合いをパステル調にします。マイナスにすると彩度が上がります。
想定の数値は0.5~1.5あたり。 - Make the colors pastel. Setting a negative value increases the saturation.
The expected value is around 0.5 to 1.5.
PastelSlider_A_XL
Download Lora/Thumbnail
彩度上昇 / Saturation
- 彩度を上げて鮮やかにします。マイナスにすると彩度が下がりパステル調になります。
想定の数値は0.5~1.5あたり。 - Increase the saturation and make it more vivid.
Setting a negative value lowers the saturation and creates a pastel tone.
The expected value is around 0.5 to 1.5.
SaturationSlider_A_XL
Download Lora/Thumbnail
SaturationSlider_B_XL