Instructions to use Muapi/nwsj_realistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/nwsj_realistic 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/nwsj_realistic") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- cf196d9d6904e451dda0b1bdd60ee673de9ef130540dfed926e61ece7c312e83
- Size of remote file:
- 1.35 MB
- SHA256:
- 67604818bb6b00b0373d6ff0dc0ecdf6c9c4a9623f6951442e45bb0abfa1c7b4
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