Instructions to use LHRuig/tmhopper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LHRuig/tmhopper 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/tmhopper") prompt = "suit" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Tom_Hopper_-_Actor_Flux.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b7987fade85caffcec66e7d9c8fd56fe9440dfd636199ee6396422ea1fa2c3ee
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size 19257416
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images/michael-kors-blue-performance-stretch-slim-fit-wedding-suit-coat.webp
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Git LFS Details
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