Instructions to use dillcodes/dylan_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dillcodes/dylan_lora 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("dillcodes/dylan_lora") prompt = "DYLAN" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 11ca45e82847d2e47d05d5c3aa43d317ce5782e1e9616d4f8d9a2f56dde30023
- Size of remote file:
- 344 MB
- SHA256:
- 7d99fde698db397d6e66d8a8f0fa53173fb0954cbe38872207ce118593a05efa
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