Instructions to use testacc1662/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use testacc1662/test-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("testacc1662/test-model") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d5c5aa26be9cb0b9d915bb12494924983f4b774706db0c142db2c02a807ca464
- Size of remote file:
- 1 kB
- SHA256:
- cc224eae9344bdca5f9a8c4a7a3303cdad2156b23d9f3dc01172bd8588a61db0
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