Instructions to use mann-e/mann-e_4_rev-0-3 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-0-3 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-0-3", torch_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:
- 922e619638dee11f65e6ece43fe5713b0e9a5f7cb77692141aa54fab2c1d7da9
- Size of remote file:
- 492 MB
- SHA256:
- 24729add6be3502d43434e5a9e9bc347e81add122c6e5cfaaa52c32453863760
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