Instructions to use anthienlong/antiblur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anthienlong/antiblur 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/antiblur") prompt = "a beautiful woman" 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/antiblur")
prompt = "a beautiful woman"
image = pipe(prompt).images[0]AntiBlur from Sắc Cơ

- Prompt
- a beautiful woman
Model description
AntiBlur from Sắc Cơ, tăng thêm độ chi tiết cho ảnh.
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/antiblur
Base model
black-forest-labs/FLUX.1-dev