Instructions to use scrapware/highPixelar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use scrapware/highPixelar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/AnyLoRA", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("scrapware/highPixelar") prompt = " masterpiece, best quality, 1girl, solo, pixelar" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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New version lite DIM(128) 1024 resolution LoRA.
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### AnyLoRA(Defaults)
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### DosMix
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### Lametta
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## Download model
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New version lite DIM(128) 1024 resolution LoRA.
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(!) Version number is pending for complete so have same number between beta version.
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<b>difference of old version:</b> differ than have painting style.
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### AnyLoRA(Defaults)
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### DosMix
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### Lametta
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## Download model
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