Instructions to use alvdansen/m3lt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alvdansen/m3lt with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("alvdansen/m3lt") prompt = "creature in the style of TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d2c9842fd5681f0fe40932f7fa6363ed99fe01c306e8fa36fafe922d21506437
- Size of remote file:
- 237 MB
- SHA256:
- f5cd520c2dcba661739dc8e41474367d7f6246f41aa4340c219672b7c4612a90
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