Instructions to use wangjian21/N_AS10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS10 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wangjian21/N_AS10") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 31daf5ec4b33609e86beba34c4260511ad6cc4d535e5b010dcf70b6f3ba8f92d
- Size of remote file:
- 6.59 MB
- SHA256:
- 4d49e5d429be1d54cc952a8dea65c31ad840cb5f2ff4b96f4899f14106de6c59
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