Text-to-Image
PEFT
Safetensors
Diffusers
lora
flow-matching
reinforcement-learning
flow-dppo
geneval2
Instructions to use Tencent-Hunyuan-Multimodal-RL/FLUX2-klein-base-9b-GenEval2-Multi-Reward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tencent-Hunyuan-Multimodal-RL/FLUX2-klein-base-9b-GenEval2-Multi-Reward with PEFT:
Task type is invalid.
- Diffusers
How to use Tencent-Hunyuan-Multimodal-RL/FLUX2-klein-base-9b-GenEval2-Multi-Reward 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.2-klein-base-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Tencent-Hunyuan-Multimodal-RL/FLUX2-klein-base-9b-GenEval2-Multi-Reward") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Demo for this model on Spaces
#1 opened 10 days ago
by
multimodalart