Instructions to use n0madic/experience-v8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use n0madic/experience-v8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("n0madic/experience-v8", 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
Download text_encoder/pytorch_model.bin from n0madic/experience-v8: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/n0madic/experience-v8/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://n0madic/experience-v8/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/n0madic/experience-v8/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 0f117d99401ac56d0fd9a41c78d33d464640d6329e90a36fe61a15cdbd506f98
- Size of remote file:
- 492 MB
- SHA256:
- d0815a4aed556f084488c5c724966629e6a40934cceaae308bf733b052e1aab9
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