Instructions to use Thihasoe/LC44 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Thihasoe/LC44 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v-1-4-original", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Thihasoe/LC44") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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LC44.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:32209ee48db904d7e82f7c5625f2de9fe1869562d6de9e08a564d9b757365772
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size 68534292
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images/Lora Controlnet V 1.0 ( SD 1.5) LW04 - 11_10_2024 3_00_07 PM (1).png
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Git LFS Details
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