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
#4
by tugan0329 - opened
Generated example for model tugan0329/flux-dev-otake.
Prompt: A cartoon wolf OTAKE , advanced wolf scientist in a high-tech lab, wearing a sleek visor with data scrolling across it, carefully holding a test tube filled with glowing liquid, eyes focused intently, surrounded by futuristic monitors displaying strange extraterrestrial DNA sequences, sci-fi and enigmatic mood. The wolf’s orange fur and curious smile are fully visible.
tugan0329 changed pull request status to merged