Instructions to use mann-e/Mann-E_Dreams with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mann-e/Mann-E_Dreams 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_Dreams", 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:
- b275216fc91516db2f14e76d19b13ab7777a5e3fa065a267b54d71b8390ce1e4
- Size of remote file:
- 335 MB
- SHA256:
- cb584e17456296b3e3cbe75868e966aaf81c5ee8f96a3ce7775e9085fe7a24d2
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