Instructions to use cuongdev/pxhien-new-1-111 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/pxhien-new-1-111 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuongdev/pxhien-new-1-111", 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 cuongdev/pxhien-new-1-111: direct link, hf CLI and curl.
- Browser
- Download file 681 MB
-
https://huggingface.co/cuongdev/pxhien-new-1-111/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://cuongdev/pxhien-new-1-111/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cuongdev/pxhien-new-1-111/resolve/main/text_encoder/pytorch_model.bin
681 MB
- Xet hash:
- 37a301559b724cba352c35bb87148b84a0bf3a913ca34d2a0a79484040c8b4d8
- Size of remote file:
- 681 MB
- SHA256:
- 72321fc76419e0bd377895bd5c72a260909bb0649f95866f062023daedbc2c9a
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