Instructions to use MidnightRunner/Pear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MidnightRunner/Pear with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MidnightRunner/Pear") prompt = "(a beautiful woman:1.5), (looking straight at the camera:1.3), hazel eye color, sweat, trembling, blush, a woman with black hair, black manicure, (goosebumps:1.2), skin pores, sweat, raytracing, specular lighting, shallow depth of field, 1girl, smiling, dimples, long voluminous hair, beautiful, from below, (looking at the viewer), (in frame), bare shoulders" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
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README.md
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Hires upscale: 1.5-2
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Denoising strength: ~ 0.3-0.5
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For better results use Hires.fix for better Results! Use ADetailer for a better face!
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## Trigger words
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You should use `woman` to trigger the image generation.
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## Download model
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Hires upscale: 1.5-2
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Denoising strength: ~ 0.3-0.5
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For better results use Hires.fix for better Results! Use ADetailer for a better face with <lora:Pear_v1:0.8>!
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## Trigger words
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You should use `woman` to trigger the image generation.
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You should use 'Medium Shot, Portrait Shot, or Extreme Closeup' to trigger the image generation.
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You should use 'Walk1nTh3Hallways' to initiate the image generation process with hallways in the background in a horizontal size.
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You should use 'A woman in a bikini is sitting on a boat in the water' to initiate the image generation process with a horizontal size.
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## Download model
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