Instructions to use effdeeargh/amireal_bakedvae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use effdeeargh/amireal_bakedvae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("effdeeargh/amireal_bakedvae", 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 text_encoder/pytorch_model.bin from effdeeargh/amireal_bakedvae: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/effdeeargh/amireal_bakedvae/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://effdeeargh/amireal_bakedvae/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/effdeeargh/amireal_bakedvae/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 391aea6657ca491ec5f0e7429007cb66dc64bbc5a012e806834d2ee67a289d7a
- Size of remote file:
- 492 MB
- SHA256:
- 5302a42c36efb6c98c774c9e7e8d28528fcb087926bd7c990cfc5b5c36dfd193
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