Instructions to use Plugiloinc/Dici with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Plugiloinc/Dici 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("Plugiloinc/Dici") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e931db6b80efef53254d02b50fec179333cc453bb623901119695d5c33139973
- Size of remote file:
- 2.15 MB
- SHA256:
- 69dabaaa09b9b7b01e58f2795b12013b2febb86e43811493ffc6a03e22d369c4
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