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:
- 323cdb60e91213defbd478c5e4416ee923275919fccea47f42a206da14f2179a
- Size of remote file:
- 783 kB
- SHA256:
- 2d101cc3e9fa3396ea7c58d59c387166c1bb7232bbde762967ef4011624b46fe
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