Instructions to use cuongdev/chau-thuc-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/chau-thuc-2 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/chau-thuc-2", 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:
- 56a87f32db737e9022bd7d7ff980d5f464fd56f863bf59f2ecfc10ea9ab636d8
- Size of remote file:
- 3.46 GB
- SHA256:
- be7507189856b9d32bbe3311db89f4361f93aed1e9e8d57712b18f5160d39bc0
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