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
Commit ·
b0e5aed
1
Parent(s): 0252515
Upload Eris_v1.safetensors
Browse filesMain fp32 model with baked VAE, resumed train with Noise Offset enabled.
- Eris_v1.safetensors +3 -0
Eris_v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3cc82487670bc555ff65fd575c2e4b2f4200c09d7ddfbf62559d793b75f086e
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size 5672770174
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