Instructions to use cuongdev/pxhien-v4-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/pxhien-v4-3 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-v4-3", 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
- Xet hash:
- 90c885dee2317563d52c01fda28fc58ceb5e809648dc155fb792c2b516f50edc
- Size of remote file:
- 681 MB
- SHA256:
- 00d170963ce55172902c560a0d44a436b03c1ae47448cd5121a29c5b14b5a6ef
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