Instructions to use wolrdKraken/Ema2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolrdKraken/Ema2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/wan22_i2v_14b_orbit_shot_lora", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wolrdKraken/Ema2") prompt = "Ema, young woman, blonde hair, fair skin, relaxed expression, lounging on sofa, beige waffle knit loungewear set, cozy socks, holding vintage corded telephone handset, living room at night, warm tungsten lamp light, window in background, knitted blanket texture, cozy ambience, soft shadows, shallow depth of field, high detail" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ema

- Prompt
- Ema, young woman, blonde hair, fair skin, relaxed expression, lounging on sofa, beige waffle knit loungewear set, cozy socks, holding vintage corded telephone handset, living room at night, warm tungsten lamp light, window in background, knitted blanket texture, cozy ambience, soft shadows, shallow depth of field, high detail
Trigger words
You should use Ema to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for wolrdKraken/Ema2
Base model
Wan-AI/Wan2.2-I2V-A14B