Instructions to use MLbackup/Lora_scrape_2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MLbackup/Lora_scrape_2023 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MLbackup/Lora_scrape_2023") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
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README.md
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@@ -25,4 +25,6 @@ We stream a lot of our testing on twitch: https://www.twitch.tv/duskfallcrew
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any chance you can spare a coffee or three? https://ko-fi.com/DUSKFALLcrew
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[](https://ko-fi.com/Z8Z8L4EO)
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any chance you can spare a coffee or three? https://ko-fi.com/DUSKFALLcrew
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[](https://ko-fi.com/Z8Z8L4EO)
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Merge permissions: MUST CREDIT, linkback to Earth & DUSK or to the respective civitAI profile of who'sever lora you got. You may not sell your merge loras or lora bind checkpoints, but you may use them on generative services.
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