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-25000/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-25000/optimizer.bin
- Command line
-
hf download hf://mobled37/vae-model-finetuned/checkpoint-25000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/mobled37/vae-model-finetuned/resolve/main/checkpoint-25000/optimizer.bin
4.54 MB
- Xet hash:
- 4d2527a19c4a3d73f52e432c61c9c37328f28a1d6ac12b4624077e8a9bc95d53
- Size of remote file:
- 4.54 MB
- SHA256:
- e524548c81f4b70f827471a66426c370f6207f327f6eff508a0fd5c665d335b1
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