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", torch_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:
- 6a2db8d909cfd8c8c04ea6d6cf893cd19907db523332a5f4d1938f3ffdecd9ff
- Size of remote file:
- 84.3 MB
- SHA256:
- 965f56dc1f2fa18c914f2b2f84822c652c1b5e3e37379e3d493be4b053c73a28
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