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:
- b30b6431d8023eaf0f466b0b91d7174cd88b0288a3b6953b91e87014271ad6ef
- Size of remote file:
- 13 MB
- SHA256:
- 7ce1be747961f176df5e8f2a97ece3794961ce3fae6829b3167562e46ca6e09c
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