Instructions to use evyatarXR/Yad2Photo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use evyatarXR/Yad2Photo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("evyatarXR/Yad2Photo") prompt = "Yad2 photo" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add Yad2Photo.safetensors
Browse files- Yad2Photo.safetensors +3 -0
Yad2Photo.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:58d8e232b7cd9b9a3445973bb3bc987f9ed8ea476bfa96dd3655a5dcf409574b
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size 129184944
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