Instructions to use AlexanderLab/cstm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/cstm 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/cstm") prompt = "CSTM" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- cf40c05e216aac9d79689461496b85583b97a026cdd5ef1da4a666e762776138
- Size of remote file:
- 344 MB
- SHA256:
- a4032a9a7e1db2a401712c4802a46bf8c33e5caf9d98dc02eb8feb538cea76ec
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