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:
- 401e5586fb4c4107c4ea2462fe343aaf06decb8c02b49b0b548fca65a66c782b
- Size of remote file:
- 492 MB
- SHA256:
- 4623556e2896c1b148ecb6f33784ce59e3437728d6f699e7b1238ebecc7c24e1
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