Instructions to use personal1802/3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("personal1802/3") prompt = "a" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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000A-002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:47ee3b5b89254b0720c78d15467c478209993e2c3286c0fe377a9578a407b8aa
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size 3359391126
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images/00128-20231102_221722_535086.png
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Git LFS Details
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