Instructions to use Westcott/1216 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Westcott/1216 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Westcott/1216") prompt = "a biedview of sks helicopter on the ground" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ca94fae5c2d87a520f039b5201be0af9e6d255e3f748cdffaba820646d7acd4e
- Size of remote file:
- 47.4 MB
- SHA256:
- 969143f48a1219f54b17d536ae8227d22bd45917ac9b6a449f8c07430d39d37c
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