Instructions to use huangdffs/dreamliteanime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use huangdffs/dreamliteanime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("huangdffs/dreamliteanime", 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
Download traindata.pt from huangdffs/dreamliteanime: direct link, hf CLI and curl.
- Browser
- Download file 765 MB
-
https://huggingface.co/huangdffs/dreamliteanime/resolve/main/traindata.pt
- Command line
-
hf download hf://huangdffs/dreamliteanime/traindata.pt
-
curl -L -o traindata.pt https://huggingface.co/huangdffs/dreamliteanime/resolve/main/traindata.pt
765 MB
- Xet hash:
- bcb7e8661a161a2f2ab3a1e2f721f86d65a63774b466e375fd738dede998b529
- Size of remote file:
- 765 MB
- SHA256:
- 3ad8626c25b15d6eac45f8c4a24ad24719370f1e6d3382dff4b2fbc282081ebc
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