Instructions to use AlexanderLab/PMSHS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/PMSHS 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/PMSHS") prompt = "PMSHS" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 30de673a3f9085b9112065418a4130fc27627eab5cbdac786279ee233958d389
- Size of remote file:
- 344 MB
- SHA256:
- 8c0247cc446b2db31474fc17cb10416722f6b1b22badc3869fafc596074a0adf
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