Image-Text-to-Image
Diffusers
English
lora
flux
flux.2
flux.2-klein
matchingpose
pose-transfer
character-consistency
image-to-image
text-to-image
Instructions to use Leon1000/Flux.2-Klein-9B-MatchingPose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Leon1000/Flux.2-Klein-9B-MatchingPose 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("Leon1000/Flux.2-Klein-9B-MatchingPose") prompt = "matchingpose9b — cycle through: face reference → mannequin pose → final output" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things

- Xet hash:
- 8e44be13baebf0bfb56387406c040500198b40862d8362d2ca7943a7d7b862a5
- Size of remote file:
- 2.05 MB
- SHA256:
- 0b5b57588e8a2592e350947ffda40e5209ed756944a0a5ae4d45fefcaca8026b
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