Text-to-Image
PEFT
Safetensors
Diffusers
English
lora
flux
reinforcement-learning
face-identity
multi-human
Instructions to use Qualcomm-AI-Research/ar2can with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Qualcomm-AI-Research/ar2can with PEFT:
Task type is invalid.
- Diffusers
How to use Qualcomm-AI-Research/ar2can 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,black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Qualcomm-AI-Research/ar2can") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
Ctrl+K