Instructions to use Banano/bacnhan-mengx2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Banano/bacnhan-mengx2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Banano/bacnhan-mengx2", 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:
- d61590b862168eb23564e1025f3870581017a124a8a5fbcb58651b198a1146ab
- Size of remote file:
- 246 MB
- SHA256:
- aa97782cd985d1b6f2c11734e8688a91346133d8f495eae77a4c7aa22a0ab8fe
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