Instructions to use AIWorksMD/Vanillaware_XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIWorksMD/Vanillaware_XL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/pony", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AIWorksMD/Vanillaware_XL") prompt = "score_9,score_8_up,score_7_up,score_6_up,source_anime,<lora:Vanillaware_XL:1>,cowboy_shot,close-up,solo,1girl,from side,from below,wide hips,upper body,expressionless,dark skin,white hair,multicolored hair,short hair,blue eyes,wedding_dress,multicolored dress,cave,mist,glowing,frilled dress,fluffy,head_til,half-closed eyes,hands on chest,long sleeves," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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## Trigger words
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You should use `score_9` to trigger the image generation.
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You should use `score_8_up` to trigger the image generation.
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You should use `score_7_up` to trigger the image generation.
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You should use `score_6_up` to trigger the image generation.
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You should use `source_anime` to trigger the image generation.
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You should use `[your prompt] <lora:Vanillaware_XL>` to trigger the image generation.
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## Trigger words
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You should use `[your prompt] <lora:Vanillaware_XL>` to trigger the image generation.
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