Instructions to use LyliaEngine/01lXLP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LyliaEngine/01lXLP with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kitty7779/ponyDiffusionV6XL", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LyliaEngine/01lXLP") prompt = "score_9, score_8_up, score_7_up, score_6_up, <lora:01lXLP:1> 01l," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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01lXLP.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7568c51c10cffae023fe1532bd97a180b3c1c5a2992bbb254b1131805ea4e632
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size 228453212
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images/01673-340719782-score_9, score_8_up, score_7_up, score_6_up, _lora_01lXLP_1_ 01l,.jpeg
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Git LFS Details
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