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 Settings
- Draw Things
- DiffusionBee
Download output.zip from Komsomol/threadbare_men: direct link, hf CLI and curl.
- Browser
- Download file 156 MB
-
https://huggingface.co/Komsomol/threadbare_men/resolve/main/output.zip
- Command line
-
hf download hf://Komsomol/threadbare_men/output.zip
-
curl -L -o output.zip https://huggingface.co/Komsomol/threadbare_men/resolve/main/output.zip
156 MB
- Xet hash:
- e26e6078a92dec69a8cb07f692fe4231778d87ede651a8a60b597d6ef7d694fc
- Size of remote file:
- 156 MB
- SHA256:
- 2069f47ee604c3a810a71b3380858d112aa00f93a740b1cc28c16474e2b39e6c
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