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:
- 42beecba869af36888ec4f4b1153e8a1ad56968967a858dd43d23bd0cfb3dac6
- Size of remote file:
- 94.7 MB
- SHA256:
- 2cac171ce12d66ac046613b62fac4304b7e06f18769d79bceb6674f80562e9fd
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