Instructions to use shahtab/IvoryStranger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shahtab/IvoryStranger 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("shahtab/IvoryStranger") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
Ivory Stranger - Flux LoRA _v1.0.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb774ee003852a5e89ad47c4fc3748cd453dee5ff789345f72b99778d3cdfa7b
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size 306426864
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images/aae4eda29f32c0979aedac94de3bdc5dc37375a9d676bf5d54c5a6ee671d0d2f.webp
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Git LFS Details
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