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 captions/threadbare_024.txt from Komsomol/threadbare_men: direct link, hf CLI and curl.
- Browser
- Download file 237 Bytes
-
https://huggingface.co/Komsomol/threadbare_men/resolve/main/captions/threadbare_024.txt
- Command line
-
hf download hf://Komsomol/threadbare_men/captions/threadbare_024.txt
-
curl -L -o threadbare_024.txt https://huggingface.co/Komsomol/threadbare_men/resolve/main/captions/threadbare_024.txt
237 Bytes
| facial structure: square-shaped, prominent jawline | |
| eyes: deep-set, brown | |
| nose: straight, medium-sized | |
| mouth: well-defined lips | |
| facial hair: clean-shaven | |
| skin tone: medium | |
| age range: 25-35 | |
| expression: neutral | |
| distinguishing features: none |