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
- Draw Things
- DiffusionBee
Update Description/Description_Eyes.md
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Description/Description_Eyes.md
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<details>
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<summary>EyeShape_A(Jito/Maru/Turi)</summary>
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Jitome
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<img src="./Sample/Eyes_Lora/EyeShape_A/EyeShape_A_Jitome_XL_Sample_1.png" width= "320px"> <img src="./Sample/Eyes_Lora/EyeShape_A/EyeShape_A_Jitome_XL_Sample_2.png" width= "320px"><img src="./Sample/Eyes_Lora/EyeShape_A/EyeShape_A_Jitome_XL_Sample_3.png" width= "320px">
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Marume
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Tsurime
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</details>
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