Instructions to use LyliaEngine/S1_Dramatic_Lighting_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LyliaEngine/S1_Dramatic_Lighting_v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LyliaEngine/Pony_Diffusion_V6_XL", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LyliaEngine/S1_Dramatic_Lighting_v2") prompt = "score_9, score_8_up, score_7_up, score_6_up, 1girl, ginger hair, 23 years old, beautiful, dappled sunlight, lipstick, dark background, portrait, s1_dram" 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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@@ -57,6 +57,14 @@ V2 should be much more consistent. It was built with a much larger dataset.
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If you like my loras, please consider reviewing and leaving a tip! I use Civitai to train since my PC is crap, any buzz is greatly appreciated!
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## Trigger words
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You should use `s1_dram` to trigger the image generation.
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If you like my loras, please consider reviewing and leaving a tip! I use Civitai to train since my PC is crap, any buzz is greatly appreciated!
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## Source
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https://civitai.com/models/661736/s1-dramatic-lighting
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## Credit
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https://civitai.com/user/DrPeeHands
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## Trigger words
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You should use `s1_dram` to trigger the image generation.
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