Instructions to use GenAIJake/g3na1j8k3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GenAIJake/g3na1j8k3 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("GenAIJake/g3na1j8k3") prompt = "g3na1J8k3 man smiling as a vibrate comic book cover" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 841bc6598455fa13a5f16a3fe913e87a2c69071e24fedcbe43e680526b1c9d7d
- Size of remote file:
- 39.8 MB
- SHA256:
- 0ac180087ffd9a48d0788717bcbf0dc68947d29bd577eb505b7723c24f8c951b
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