Instructions to use tera0711/CHECKPOINT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tera0711/CHECKPOINT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tera0711/CHECKPOINT") prompt = "<lora:guiltyficial_reality-01:0.7>, perfect body, ultra realistic, best quality, 8k uhd, masterpiece, asian beautiful woman, " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 850bfb22cef1f34fe47a9865a7199403f83bf3b66ea78f239564201bed5a847a
- Size of remote file:
- 32.2 GB
- SHA256:
- c692c7623eeffcb00bf576216ee6055133ee14427fc1787169e25d445fefe716
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