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:
- 36bce5ab0a69527aa4cee844edfd537ff83a2608b07aa2f39ed8e1195d32d0c8
- Size of remote file:
- 6.53 MB
- SHA256:
- 9aea24007edf7cf1d1a8278b9ac3f4290d2a04c6a3c4c81bc6b44360afbe2664
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