Instructions to use wchen99998/AllysMix3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wchen99998/AllysMix3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wchen99998/AllysMix3", 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 wchen99998/AllysMix3: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/wchen99998/AllysMix3/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://wchen99998/AllysMix3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/wchen99998/AllysMix3/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 45ce44e03e9231f66c505ee17687444ef91217cf7ffb0d5d515e327c0f3eb8b1
- Size of remote file:
- 492 MB
- SHA256:
- 44db860b58b96e54822bc4a3e584e904966590dad2aa137aa4f560d3e8b47cef
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