Instructions to use leeyongho/lyh2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leeyongho/lyh2 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("leeyongho/lyh2") prompt = "png" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
lyh2

- Prompt
- png

- Prompt
- png
Model description
comfy ui์์ ๊ตฌ๋๋ฉ๋๋ค flux lora๋ชจ๋ธ, ์ด๋ณด์๊ฐ ๋ง๋ ๋ก๋ผ ์ด๋ฏธ์งํ์ผ์ ์ํฌํ๋ก์ฐ์ ๋์ง์ธ์
Trigger words
You should use 1girl to trigger the image generation.
You should use anime to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for leeyongho/lyh2
Base model
black-forest-labs/FLUX.1-dev