Instructions to use wangjian21/N_AS1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/N_AS1 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wangjian21/N_AS1") prompt = "nude sexual erotic bather body art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 06aec63fb49317c5f26cbe40d603f60f049d68d38b8d105ad54f5d6a17fac967
- Size of remote file:
- 445 kB
- SHA256:
- 13e3e467307706cf9f415fc23e9cd29db32c73523c1aebd0c574693885adcf57
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