Instructions to use data-plumber/sammo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use data-plumber/sammo 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("data-plumber/sammo") prompt = "SAMMO" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b7c482e56730a9cb178fe01d556d502ad0b3a76a265646661250881656a7e7a0
- Size of remote file:
- 172 MB
- SHA256:
- 8f475511064f38dd6828a6c8e29d62944c1eb344532670580e7f0b42bdb66d66
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