Instructions to use Muapi/shadow-ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/shadow-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/shadow-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:
- 39a9e3b81bda58fcc126f40b67e0364bb2ac65079f4f0e5dd5ac2b772fc3118b
- Size of remote file:
- 86 MB
- SHA256:
- e6f1b80b2e261c1ef635e3a16f7a1c9dec7267e6a621b89b26c94b29e65b8133
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