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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d33e9b59c873827f1706b5aaac29fc3f68e686d6351b1c44b310fc8d468b7a6a
- Size of remote file:
- 6.53 MB
- SHA256:
- c26753c127fb66455036cbe1cf02a73fc89f284f02cbba633d2c6f3de738a6e4
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