Instructions to use AlexanderLab/PMASHS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/PMASHS 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/PMASHS") prompt = "PMASHS" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c4bd737b29d6966cb06cee5a7395946aafdbe9c3f9766e7a1ceba18e764ba9ba
- Size of remote file:
- 344 MB
- SHA256:
- 6ed9ab36509049092cbd64b0f5ebcee152be07b90e95303eb0250b6cbfea8d45
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