Text-to-Image
Diffusers
English
FluxPipeline
template:sd-lora
flux
lora
flux dev
image-generation
painting
art
illustration
drawing
lithography
Instructions to use AlekseyCalvin/AustinOsmanSpareFlux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/AustinOsmanSpareFlux 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("AlekseyCalvin/AustinOsmanSpareFlux") prompt = "HST Austin Osman Spare style lithograph artwork" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee