Instructions to use CalypsoCrunchies99/waveconcepts_vaefix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CalypsoCrunchies99/waveconcepts_vaefix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CalypsoCrunchies99/waveconcepts_vaefix", 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 CalypsoCrunchies99/waveconcepts_vaefix: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/CalypsoCrunchies99/waveconcepts_vaefix/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://CalypsoCrunchies99/waveconcepts_vaefix/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CalypsoCrunchies99/waveconcepts_vaefix/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- d89315599b2079256b904c017c4f274281ee4e5bae2c76df25c72f9a818a5eee
- Size of remote file:
- 492 MB
- SHA256:
- ce9b46c1208409b205d3f4eb98b8ca0fa99837202bbc0d8cb1880fe8d26cc9fe
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