Instructions to use WalidAlHassan/my-lora-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WalidAlHassan/my-lora-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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("WalidAlHassan/my-lora-model") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- d6ab38e7db7f2163f5fcd1a0ef0e4e06a0bceaaddf1b64593d079f9c2800f7e5
- Size of remote file:
- 13 MB
- SHA256:
- 3a7b9bdc7a7d61ffcd6f6a712e7400a4b7fa34e30b411688e71c594fe74c2b82
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