Instructions to use Matb09/emak-big-2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Matb09/emak-big-2000 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("Matb09/emak-big-2000") prompt = "photo of chainsaw" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8b65d6e454b0b21d347a9ad11d41d427fc0e57b23b91b23581dee4ed8a325786
- Size of remote file:
- 173 MB
- SHA256:
- ae5989580abe3d31cc6d4ed6b6c336732049b6d9b6b5968b28c8e61ab47ff2af
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