Instructions to use Pikassik/save_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pikassik/save_model 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("Pikassik/save_model") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- aedc387724c94bd4c05c601f6eaeb991ddf032cfc1ccb34981349520e42937c7
- Size of remote file:
- 45.4 MB
- SHA256:
- 63caca747500a41ee5539562cef8841a06d32af97e4adf2ddc01b0c66bc06a47
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