Instructions to use cptsl/AfterDark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cptsl/AfterDark with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cptsl/AfterDark") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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afterdark_v2_4ft3rd4rk(trigger).safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5deef505bfc085113b391ed00828fa53081ba092534759ecae98d5faf88993f4
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size 170128312
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images/AfterDark.png
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Git LFS Details
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