Instructions to use Plimpumpam/aheglow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Plimpumpam/aheglow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Plimpumpam/aheglow") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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flipOffAhegao_low_noise.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9541cd2c337c8d5659791d60f005f1a0c632b367f3cd65d35cd145036a02df0a
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size 306809472
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images/IMG_6690.png
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Git LFS Details
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