Instructions to use mangoxb/path-to-save-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mangoxb/path-to-save-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("mangoxb/path-to-save-model") prompt = "a photo of sks cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 745f037f83a0627df4a18348eb8f2169631e67a9de4d5742e0af794a967da3a5
- Size of remote file:
- 6.59 MB
- SHA256:
- 9d300817bcb2e8cde33ea49beb67a594564f05af659b0d21fd3edba9b2f7753b
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