Instructions to use mann-e/mann-e_rev-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mann-e/mann-e_rev-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_rev-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
Commit History
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#2)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (1d6f562150486b0a56467625dc18fda16825d89d)cebb76b
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Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (cb2ee1c46b48bf0a38c90346124965e42582143b) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>c65dc30
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Fixing the sample image
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Update README.md
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Update README.md
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Update README.md
1ef2e8c -
Upload revision-3-artwork.png
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Update README.md
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Update README.md
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To the infinity and beyond
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initial commit
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