Instructions to use Mariobilly/z-image-turbo-msch-painting01-4000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mariobilly/z-image-turbo-msch-painting01-4000 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Mariobilly/z-image-turbo-msch-painting01-4000") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 6d8f4d7af5d5992d50359c935688694ffa687e0b7fefc3fe64f40382515d3f87
- Size of remote file:
- 698 kB
- SHA256:
- ff7b7f367604762d31cc6950eca6c7e052f080d2b93c545050bd74cf650ac8eb
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