Instructions to use Saad4web/mcai-tfjs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Saad4web/mcai-tfjs with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("google/mobilebert-uncased", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Saad4web/mcai-tfjs") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 0685c9e230a5bae98251cec5b2041ffdbf315351879785ae244eb5f7b0859701
- Size of remote file:
- 4.19 MB
- SHA256:
- 9e2f575d2183e0a523b67dedda6a9773e4936c0aef62f6481b1496544f2ce76b
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