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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ed1f66f22049670eea617de1f8d2c072595d609685cf13500270d5e2237a741d
- Size of remote file:
- 13 MB
- SHA256:
- f1fc6bf3f52865305a626c60373b0f3d560015318a31da897437d75d0dabc44c
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