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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2f9776fb4cce400e67fad10611b2fb62cea69fddfe558c1d3a350e6c293eab90
- Size of remote file:
- 6.59 MB
- SHA256:
- 4d7f61cf1f97f3cd29c4627ff75e75bd2004d0736604177d61964f330c8ad31e
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