Instructions to use levbrick/dm_v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use levbrick/dm_v1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("levbrick/dm_v1.0") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 18f5a4156e21e8caaef4c81390d732d6eee3bd2e8db936de842feca34eeee42c
- Size of remote file:
- 170 MB
- SHA256:
- 579ed86a754d77920d6cfd521853cf819e8884ac93263049c68fcb5057e9e140
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