Instructions to use igastesi/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igastesi/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("SG161222/Realistic_Vision_V2.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("igastesi/model") prompt = "a photo of sks open window" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 867d1bc60ef9fbfb2b00e431efd7d39b408d957a6ba5751cb698b1b50a3594f5
- Size of remote file:
- 6.53 MB
- SHA256:
- a33fa8dbaf16a99cb0d6a52361b7f520e9b08e9be327edbfa7737d05fbe98ae3
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