Instructions to use nDimensional/Experience with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nDimensional/Experience 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/Experience", 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
Uploaded FP32/FP16 Safetensor and ckpt of Experience v7.0 + Realistic Experience model
988b63d - Xet hash:
- 68ad2bb7ae429f02d62a6b6e5f3f6f2228b1af2a55f16d88380656c9834388be
- Size of remote file:
- 4.27 GB
- SHA256:
- 1cf63f736d1d8621eaa1f98834163ead3c4d1a4e4b8cc5edfe7b741ec23b17a8
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