Instructions to use Muapi/nightmare-ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/nightmare-ce 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/nightmare-ce") 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:
- b1c8a50ce5e7c013018b9300541ec482311794ec023eb3a8473a847376a89361
- Size of remote file:
- 322 kB
- SHA256:
- a9315b6793d79cf6292d02ce4bf35097e7ea61cb2e9c7049c86b1689e8c7d707
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