Instructions to use tugan0329/flux-dev-otake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tugan0329/flux-dev-otake 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("tugan0329/flux-dev-otake") prompt = "A photo of a cartoon wolf OTAKE standing in a snowy winter scene, surrounded by softly falling snowflakes and frosted pine trees. The wolf is wearing a colorful parka with festive white patterns, a cozy red scarf, and a red Christmas hat with a fluffy white trim. OTAKE has a serious expression, gazing intently into the distance, with his orange fur contrasting against the snowy backdrop. The atmosphere is serene, capturing the chilly essence of Christmas day." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#5
by tugan0329 - opened
Generated example for model tugan0329/flux-dev-otake.
Prompt: A cartoon wolf OTAKE, wolf explorer with orange fur, wearing a small backpack, holding a high-tech scanner device, large blue eyes filled with curiosity, standing in an ancient jungle temple covered in glowing alien symbols, vines and mist surrounding the scene, mysterious and adventurous mood.
tugan0329 changed pull request status to merged