Instructions to use ostris/yearbook-photo-flux-schnell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/yearbook-photo-flux-schnell 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ostris/yearbook-photo-flux-schnell") prompt = "woman playing the guitar, on stage, singing a song, laser lights, punk rocker" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
yearbook-photo-flux-schnell

- Prompt
- woman playing the guitar, on stage, singing a song, laser lights, punk rocker

- Prompt
- hipster man with a beard, building a chair, in a wood shop

- Prompt
- a bulldog, in a post apocalyptic world, with a shotgun, in a leather jacket, in a desert, with a motorcycle

- Prompt
- woman with red hair, playing chess at the park, bomb going off in the background
Model description
Generate old yearbook style photos with FLUX.1 schnell. Trained directly on black-forest-labs/FLUX.1-schnell using ai-toolkit.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 10
Model tree for ostris/yearbook-photo-flux-schnell
Base model
black-forest-labs/FLUX.1-schnell