Instructions to use Jersonm89/Avatar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jersonm89/Avatar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jersonm89/Avatar", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Model trained with images from James Cameron's Avatar movie. Draw avatar characters with facial features of the person indicated at the prompt
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### Sample images Will Smith: prompt= portrait Will Smith male,avatar style
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### Sample images Johnny Depp: prompt= portrait
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Model trained with images from James Cameron's Avatar movie. Draw avatar characters with facial features of the person indicated at the prompt
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### Sample images Will Smith: prompt= portrait Will Smith male, avatar style
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### Sample images Johnny Depp: prompt= portrait Johnny Depp male, avatar style
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