Instructions to use LHRuig/travisx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LHRuig/travisx 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("LHRuig/travisx") prompt = "suit" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files- images/suit.jpg +3 -0
- travis-sexy footballer.safetensors +3 -0
images/suit.jpg
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Git LFS Details
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travis-sexy footballer.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:32ae4622ecba2037380d086056ce741625bcb2b0bba5809c9e2958ac83f1c7a7
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size 171969416
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