Instructions to use Komsomol/threadbare_men with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Komsomol/threadbare_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("ostris/Flex.1-alpha", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Komsomol/threadbare_men") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files- images/threadbare_001.webp +3 -0
- output.zip +3 -0
images/threadbare_001.webp
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output.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:2069f47ee604c3a810a71b3380858d112aa00f93a740b1cc28c16474e2b39e6c
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size 156083839
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