Instructions to use milaidy/harveyy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use milaidy/harveyy 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/harveyy", 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/harveyy: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/milaidy/harveyy/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://milaidy/harveyy/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/milaidy/harveyy/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 789bdcaf7df84d37b519e9513e97fb110bcad534be832dff8c029ee3d94ec78c
- Size of remote file:
- 246 MB
- SHA256:
- 5b23fcd3b357fa8a718c2826647495edd97f1f1a624af6c86fba17fd86e2b46c
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