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 Settings
- Draw Things
- DiffusionBee
Commit History
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Update README.md
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Uploaded FP16 and Pytorch versions of Experience v10 and Realistic Experience v3
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Uploaded Realistic_Experience_1.5
nDimensionalThis version does not contain Noise Offset and is not available on civitai. Uploading here for storage purposes. Experience v8, 7.5, and Realistic_Experience_2 will be uploaded to the repo shortly.0c5c3cb
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Uploaded FP32/FP16 Safetensor and ckpt of Experience v7.0 + Realistic Experience model
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initial commit
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