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
Download text_encoder_2/model.safetensors from mann-e/Mann-E_Dreams: direct link, hf CLI and curl.
- Browser
- Download file 2.78 GB
-
https://huggingface.co/mann-e/Mann-E_Dreams/resolve/main/text_encoder_2/model.safetensors
- Command line
-
hf download hf://mann-e/Mann-E_Dreams/text_encoder_2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/mann-e/Mann-E_Dreams/resolve/main/text_encoder_2/model.safetensors
2.78 GB
- Xet hash:
- 65542fcd4eea75dc2c7b42ca7dcbc7d4f0e62620ba695b41b0aab8b716960989
- Size of remote file:
- 2.78 GB
- SHA256:
- b822ef78f7f1553c7d556ee1d1ff5c0c9cd03e9e8ea5bce43e5a1ee5f249abcd
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