Instructions to use tm-hf-repo/tmsg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tm-hf-repo/tmsg with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tm-hf-repo/tmsg") prompt = "convert this to tmsg style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f524c4be30ee01f97160b145289c124911c0e252fd8b1c558b0fd929b1fc1062
- Size of remote file:
- 307 MB
- SHA256:
- 9e0b41106c936d0da4eb83e4f1d8e53ff3dca0478ed02f62f4a317c0a5f8d945
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