Instructions to use sally9805/saved_model_multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sally9805/saved_model_multi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sally9805/saved_model_multi", 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 checkpoint-500/optimizer.bin from sally9805/saved_model_multi: direct link, hf CLI and curl.
- Browser
- Download file 1.97 GB
-
https://huggingface.co/sally9805/saved_model_multi/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://sally9805/saved_model_multi/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sally9805/saved_model_multi/resolve/main/checkpoint-500/optimizer.bin
1.97 GB
- Xet hash:
- 26ba0a055e9302179f284c4551cc6c962c8a7a387a2c7232af1fbdbcc73c3964
- Size of remote file:
- 1.97 GB
- SHA256:
- 1984022606111f0ab795296de167a04f1df56a7911ec4d77c24d64dadae73dc4
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