Instructions to use mobled37/vae-model-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mobled37/vae-model-finetuned with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mobled37/vae-model-finetuned", 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-40000/optimizer.bin from mobled37/vae-model-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 4.54 MB
-
https://huggingface.co/mobled37/vae-model-finetuned/resolve/main/checkpoint-40000/optimizer.bin
- Command line
-
hf download hf://mobled37/vae-model-finetuned/checkpoint-40000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/mobled37/vae-model-finetuned/resolve/main/checkpoint-40000/optimizer.bin
4.54 MB
- Xet hash:
- 83b79c05a85e954a2a175718bddca99e65466e2888d89feebdfe5ff9c5f65adc
- Size of remote file:
- 4.54 MB
- SHA256:
- 0bd573c8e2163c2f1899b2accf67b34625e0e1611443ba5086ee008f18c506c7
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