Instructions to use manusehgal/all-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use manusehgal/all-data with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("manusehgal/all-data", dtype=torch.bfloat16, device_map="cuda") prompt = "product data" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from manusehgal/all-data: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/manusehgal/all-data/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://manusehgal/all-data/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/manusehgal/all-data/resolve/main/checkpoint-500/optimizer.bin
47.4 MB
- Xet hash:
- 3f0825438b6f0551399a4953dd3be380dd8a352e7ec616e29bb55df7b9ceb136
- Size of remote file:
- 47.4 MB
- SHA256:
- 8954639945a0a52458ad03689228088030effded74d2859b61577bd5c641968f
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