Instructions to use lora-library/egbert-source-imagemagick-scale2x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/egbert-source-imagemagick-scale2x with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lora-library/egbert-source-imagemagick-scale2x") prompt = "egbert" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-800/pytorch_model.bin from lora-library/egbert-source-imagemagick-scale2x: direct link, hf CLI and curl.
- Browser
- Download file 3.42 MB
-
https://huggingface.co/lora-library/egbert-source-imagemagick-scale2x/resolve/main/checkpoint-800/pytorch_model.bin
- Command line
-
hf download hf://lora-library/egbert-source-imagemagick-scale2x/checkpoint-800/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lora-library/egbert-source-imagemagick-scale2x/resolve/main/checkpoint-800/pytorch_model.bin
3.42 MB
- Xet hash:
- eb8b99315f8656eaf69cbc7372237733ecb9556d3139ba57a120eaa94ee435f8
- Size of remote file:
- 3.42 MB
- SHA256:
- fed8e1685e6e04cf363b9bfe10894cc678be31e99aa682cb4b8c5d4be4ed9ad2
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