Instructions to use harsha19/men with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use harsha19/men 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("harsha19/men") prompt = "rups" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload Wet_and_Messy-Flux-Dev.safetensors
Browse files
Wet_and_Messy-Flux-Dev.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:321cf24fe8b9107897b9f077e85a472be60982a4e4f0925f4bd8d3ebfd781cb9
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size 19268208
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