Instructions to use Kvikontent/Korean-Men-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kvikontent/Korean-Men-V1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kvikontent/Korean-Men-V1") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Kvikontent/Korean-Men-V1: direct link, hf CLI and curl.
- Browser
- Download file 179 Bytes
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https://huggingface.co/Kvikontent/Korean-Men-V1/resolve/main/README.md
- Command line
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hf download hf://Kvikontent/Korean-Men-V1/README.md
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curl -L -o README.md https://huggingface.co/Kvikontent/Korean-Men-V1/resolve/main/README.md
179 Bytes
metadata
license: openrail
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- korean
- kviai
- lora
base_model: runwayml/stable-diffusion-v1-5