Instructions to use huangdffs/40x56 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use huangdffs/40x56 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/40x56", 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/40x56: direct link, hf CLI and curl.
- Browser
- Download file 61.3 MB
-
https://huggingface.co/huangdffs/40x56/resolve/main/traindata.pt
- Command line
-
hf download hf://huangdffs/40x56/traindata.pt
-
curl -L -o traindata.pt https://huggingface.co/huangdffs/40x56/resolve/main/traindata.pt
61.3 MB
- Xet hash:
- 6b84b213fbd676d04edf228e4b497afd666891be6b1b2e9f782570ce5e2d572e
- Size of remote file:
- 61.3 MB
- SHA256:
- d4786c0a745bb5b0d00fe642992a2b47edec7df96974717c95a01adea700439c
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