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:
- ecb031425dc3274b104d9dcafbd441f6176dfc72250cc826493d85512a5e3692
- Size of remote file:
- 6.53 MB
- SHA256:
- 6f0cd8fa1e6da438d4d433a65693d23f087d32dfa67029dfd08913b7d89beed3
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