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:
- 179d5b293d69bffbf97f4c13635193af26be587872b72bcec7b86735524a082f
- Size of remote file:
- 132 kB
- SHA256:
- c3199988ec41165145f4b9733ab1adbb97da0089b7211974a739c45eace86cbe
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