Instructions to use mann-e/mann-e_4_rev-1-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mann-e/mann-e_4_rev-1-3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mann-e/mann-e_4_rev-1-3", 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
- Draw Things
- DiffusionBee

- Xet hash:
- 7208d2bae72a133de74b0e3b93c8d54ec776e8f08b7bfb3d3e1914b55b9255cf
- Size of remote file:
- 1.95 MB
- SHA256:
- adc16e64829523caafad9765ebc400a9f4c912ff7a905a835143569c80835449
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