Instructions to use ephmecx/zws with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ephmecx/zws with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Envvi/Inkpunk-Diffusion", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ephmecx/zws") prompt = "photo of zwx person nvinkpunk" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 50bb930b3181608f7a854b69ec48399a39affe4ffa16ddf299dcef46c7c48f76
- Size of remote file:
- 6.59 MB
- SHA256:
- 1ec4eca96769dc2dc6a75805b7b113746311d49740ce83e01988b5e441aeed2e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.