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:
- e6143f4ee4ce45739dd610fae91b6e3e5aef7bff8583678979ec4793e356865d
- Size of remote file:
- 771 kB
- SHA256:
- 503cd1bf81d322d430dfd918de8f12f54ba055412a0d00aa3331aebbb90e3b10
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