Instructions to use Muapi/double-exposure with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/double-exposure with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/double-exposure") 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:
- 84fd8330f16109178ae5e2c1a59530530e32ddd716e8eb28021280085eb86057
- Size of remote file:
- 2.08 MB
- SHA256:
- fdf2e989c71a01ee9f06d8283d8c48265d3327e20f96191a73c1189a8ba99dc3
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