Instructions to use personal1802/36 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/36 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("latent-consistency/lcm-lora-sdv1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("personal1802/36") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files- CattleyaMix.safetensors +3 -0
- images/WHITE.png +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b7962d558b851fe7d98e2b02af4284b5b9d3b2f2424e54ac14ff8619113f988
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size 2132674652
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images/WHITE.png
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Git LFS Details
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