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", 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
Download safety_checker/pytorch_model.bin from mann-e/mann-e_4_rev-0-3: direct link, hf CLI and curl.
- Browser
- Download file 1.22 GB
-
https://huggingface.co/mann-e/mann-e_4_rev-0-3/resolve/main/safety_checker/pytorch_model.bin
- Command line
-
hf download hf://mann-e/mann-e_4_rev-0-3/safety_checker/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mann-e/mann-e_4_rev-0-3/resolve/main/safety_checker/pytorch_model.bin
1.22 GB
- Xet hash:
- dae2b9c11da7fdd8e5538e85a207eb6867e15e7bb9145110161c85345cf7f83a
- Size of remote file:
- 1.22 GB
- SHA256:
- 16d28f2b37109f222cdc33620fdd262102ac32112be0352a7f77e9614b35a394
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