Instructions to use personal1802/30per with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/30per 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("personal1802/30per") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files
0.5(0.5(0.5(0.5(cgTextureLightAnd_norfleetV15) + 0.5(kakarot28DCozy_cozy)) + 0.5(kakarot28D_v20)) + 0.5(dak%20jang)) + 0.5(000A-002+koreanDollLikeness.fp16).safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7272f94e7715ed74e83a84354041f9bc08080facff546185ce6a4bad1f9719fd
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size 3092004326
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images/WHITE.png
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Git LFS Details
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