Instructions to use lucky120901318/v2-worker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lucky120901318/v2-worker with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lucky120901318/v2-worker", 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 text_encoder/pytorch_model.bin from lucky120901318/v2-worker: direct link, hf CLI and curl.
- Browser
- Download file 681 MB
-
https://huggingface.co/lucky120901318/v2-worker/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://lucky120901318/v2-worker/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lucky120901318/v2-worker/resolve/main/text_encoder/pytorch_model.bin
681 MB
- Xet hash:
- 67c4a0b1293994dd38c96883d0af54b1d56e5dbcc53f05a596641b6b08415e07
- Size of remote file:
- 681 MB
- SHA256:
- 3731ae636e0debb1fcbded22a96d7ed97c56d85221db2e664681418cbb723e9f
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