Instructions to use milaidy/gabewise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use milaidy/gabewise with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("milaidy/gabewise", 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 milaidy/gabewise: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/milaidy/gabewise/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://milaidy/gabewise/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/milaidy/gabewise/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- f3e504ac23f41bdcadab2bb7761ff7bfb8c70d270371c525ae387c4f3df2e9ed
- Size of remote file:
- 246 MB
- SHA256:
- c11667dac43d441c6d3dd099ff9b5851ad5a1a2ce2fc1937c5d2a7d369d48acf
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