Instructions to use luizC/newMix1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use luizC/newMix1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("luizC/newMix1", 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 luizC/newMix1: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/luizC/newMix1/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://luizC/newMix1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/luizC/newMix1/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- be3cd585f5500e7c6822fa8d618d1ae621b9cb68f0a2e90ea2becf53c24644cb
- Size of remote file:
- 492 MB
- SHA256:
- fa555386faa800244d1b45a465f53b35b08920e439ab2358906964833c4d6d6d
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