Instructions to use Squiddy3/MichealMartin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Squiddy3/MichealMartin 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("Squiddy3/MichealMartin") prompt = "Micheal Martin" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
Micheál_Martin_Tánaiste_of_Ireland.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c2c53e3708c9f194e18ed079118351d0661d80c935504b3105a5406f3bfad04
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size 19257952
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images/Micheál_Martin_Tánaiste_of_Ireland_e000008_02_20241105135356.jpeg
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Git LFS Details
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