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
Download checkpoint-200/optimizer.bin from ephmecx/zws: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/ephmecx/zws/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://ephmecx/zws/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ephmecx/zws/resolve/main/checkpoint-200/optimizer.bin
6.59 MB
- Xet hash:
- 46995193a868b437c06c6da75b0dabcd9d61a2946d5551038535888c77d90406
- Size of remote file:
- 6.59 MB
- SHA256:
- 77027fcee39780f7dd877e8518629b916d5569797e006db80e910b816daa7c36
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