Instructions to use anthienlong/kevink with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anthienlong/kevink 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("anthienlong/kevink") prompt = "one man in green suit, kth" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("anthienlong/kevink")
prompt = "one man in green suit, kth"
image = pipe(prompt).images[0]Kevin K

- Prompt
- one man in green suit, kth
Model description
Tạo ảnh của Kevin
Trigger words
You should use kth 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 anthienlong/kevink
Base model
black-forest-labs/FLUX.1-dev