Instructions to use Squiddy3/AlanShatter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Squiddy3/AlanShatter 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/AlanShatter") prompt = "Alan Shatter" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
Alan_Shatter-000003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b90b7600cf7598320c474d0ea2d9c386669aa45900f4ef74f13ede649ce5aa06
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size 19258464
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images/Alan_Shatter_e000008_00_20241108152818.jpeg
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Git LFS Details
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