Instructions to use Squiddy3/RichardBoydBarrett with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Squiddy3/RichardBoydBarrett 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/RichardBoydBarrett") prompt = "Richard Boyd Barrett" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
Richard_Boyd_Barrett.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f03316d91c3c0510dce01435fc91d10a0b779dd79cf6501463b8d6c9d9dd28f1
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size 19258552
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images/Richard_Boyd_Barrett_e000008_00_20241106122547.jpeg
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Git LFS Details
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