Instructions to use Xtest/forgery_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Xtest/forgery_test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("latent-consistency/lcm-lora-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Xtest/forgery_test") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- b0ff398ad495a968b4e1ec7c595b5b50318ef95569b37294ca6c098b7678eb68
- Size of remote file:
- 38.1 kB
- SHA256:
- 2f333c34aefc71ba2fa81b076190be8a6ed3483e304b68b8d1daaf3fe0460673
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