Instructions to use AIAddicts/VashirLewd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIAddicts/VashirLewd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIAddicts/VashirLewd", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from AIAddicts/VashirLewd: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/AIAddicts/VashirLewd/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://AIAddicts/VashirLewd/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/AIAddicts/VashirLewd/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- f32ec19071823fcd7db1860f4389c59de72892dd582587d558936083e7b1fd9f
- Size of remote file:
- 3.44 GB
- SHA256:
- ace11b86613b894e5239f064ee4b6edbb2717c5e945698dea1fabd717a9802cd
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