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:
- 5e866415d1e9c2ab524efa7d522e16f0a8e2964b208715272a18902c3489e7f4
- Size of remote file:
- 3.29 MB
- SHA256:
- 12b5d334b81fa0c9cebaf88ed8f45ba22b00925b31f0ebb7550ea2a6b559aae7
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