Instructions to use Muapi/source-engine-aesthetic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/source-engine-aesthetic 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("Muapi/source-engine-aesthetic") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- e7b3b32d58f8893540d52b421609f5df2239ad135f6808326fe0cf25ef9da99d
- Size of remote file:
- 306 MB
- SHA256:
- 88045de7890cd83be6a911d10269e2920ceaeab3830544b927dd5016670ca3b5
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