Instructions to use nDimensional/Eris with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nDimensional/Eris with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nDimensional/Eris", 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
- Draw Things
- DiffusionBee
nDimensional commited on
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license: openrail
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license: openrail
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library_name: diffusers
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tags:
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- art
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3D render/anime/cartoon focused model. Fine tuned with Noise Offset Enabled.
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**Use Low Guidance Scale (CFG) values : 5.5 - 7.5 for most samplers**
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**CLIP Skip 2 is reccommended**
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