Instructions to use Squiddy3/DavidCullinane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Squiddy3/DavidCullinane 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/DavidCullinane") prompt = "David Cullinane" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
David_Cullinane-000001.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:64d215a84d180f120e75cb72c0af242a9a82654d1dc561c11be73c4042591814
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size 89745224
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images/B2C3KM7CSVA86KXKJ0TZKPBFJ0.jpeg
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Git LFS Details
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