Instructions to use jleifeld/experience-realistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jleifeld/experience-realistic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jleifeld/experience-realistic", 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 jleifeld/experience-realistic: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/jleifeld/experience-realistic/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://jleifeld/experience-realistic/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jleifeld/experience-realistic/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- ef98ad1ea591d427e90e60e8452444d4a33283ca21d5146b89bd718cc628195c
- Size of remote file:
- 492 MB
- SHA256:
- 5c7f2784d0569e73151490a3b7dd7515da10dc2bced68523a4b13a3a6fd6e6b8
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