Instructions to use julianmoraes/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use julianmoraes/test-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("julianmoraes/test-model", 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 julianmoraes/test-model: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/julianmoraes/test-model/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://julianmoraes/test-model@refs/pr/3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/julianmoraes/test-model/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 9500e57031c93a33493578b1ee0d1d5a4638a324d703660d4bd76f58f23df3c4
- Size of remote file:
- 492 MB
- SHA256:
- bd28b1a16c468f4a169ca6de2ef8636ba058ac88803dfe6e67b91109b76d9b4e
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