Instructions to use Thihasoe/LF49 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Thihasoe/LF49 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-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Thihasoe/LF49") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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LF49.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f9aaae014691a00b3e71ff5f59bc9eddf446f1018c1eb3b2675f8dccecd02a2
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size 151109224
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images/Lora Controlnet V 1.0 ( SD 1.5) LW04 - 10_1_2024 11_45_02 AM (1).png
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Git LFS Details
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