Instructions to use Attonos/MRA_coder_local with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Attonos/MRA_coder_local 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("Attonos/MRA_coder_local") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e35295280fece4e0848267812df4366635f973511909e56b0f8ffd0613771802
- Size of remote file:
- 9.25 MB
- SHA256:
- 9f2914bd5d5be7e30d243a58aeefee3d1c7dda74d8cad3b7ba85042e84e846be
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