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 Settings
- Draw Things
- DiffusionBee
| license: openrail | |
| library_name: diffusers | |
| tags: | |
| - text-to-image | |
| - StableDiffusion | |
| - Stable-Diffusion | |
| - image-generation | |
| - SD1.5 | |
| - SDv1.5 | |
| - image-generation | |
| - art | |
| 3D render/anime/cartoon focused model. Fine tuned with Noise Offset Enabled. <br> | |
| **Use Low Guidance Scale (CFG) values : 5.5 - 7.5 for most samplers**<br> | |
| **CLIP Skip 2 is reccommended** | |