Instructions to use mann-e/Mann-E_Art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mann-e/Mann-E_Art 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_Art", 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
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README.md
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- SDXL 1.0 LoRas are working just fine with the model.
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- ControlNet, IPAdapter, InstantID are just fine.
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- Although we still recommend 768x768, but it is just working fine with bigger resolutions up to 1024x1024.
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- For rectangular images, 832x1216 and 608x1080 are working fine as well.
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## Donations
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- SDXL 1.0 LoRas are working just fine with the model.
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| 44 |
- ControlNet, IPAdapter, InstantID are just fine.
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| 45 |
- Although we still recommend 768x768, but it is just working fine with bigger resolutions up to 1024x1024.
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- For rectangular images, 832x1216 and 608x1080 are working fine as well.
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- The model isn't good at vector or pixel without additional LoRA adapters.
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## Donations
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