Instructions to use AlexanderLab/TSLACA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/TSLACA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlexanderLab/TSLACA") prompt = "TSLACAB" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e962b3ecb97456aa0a9c2f1f9dbf045da61a0acb3e231571ecf3dbd9c40c9193
- Size of remote file:
- 344 MB
- SHA256:
- 58f7ed62d43c8e118ec467c7a1e118a6a0c95b14dd375820c81a96055388fb8c
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