Instructions to use tehqikness/manda2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tehqikness/manda2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tehqikness/manda2", 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:
- 6f06ba49e2f0017fd427b38c8d499ff25d8b3334ddf1f6296e28e324721db95f
- Size of remote file:
- 681 MB
- SHA256:
- f7460624800b09b7b59b7e5a8e1fa4ca691ad974f747877e516c56ada74466d6
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