Instructions to use darasuke/animix_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use darasuke/animix_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("darasuke/animix_diffusers", 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 darasuke/animix_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/darasuke/animix_diffusers/resolve/d45b711f2ef2285adb57e982d98d8fe95af77b60/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://darasuke/animix_diffusers@d45b711f2ef2285adb57e982d98d8fe95af77b60/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/darasuke/animix_diffusers/resolve/d45b711f2ef2285adb57e982d98d8fe95af77b60/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 6e26d53867b9aa1331b5d8acc9a38a082c6b8fb8d82001ea744804e7e1b2583d
- Size of remote file:
- 492 MB
- SHA256:
- 8590f7ef15d53684ba2b8a348a1550295f0c38d0f6f7369ede36bdb5558eedf2
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