Instructions to use Rin247/Z-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rin247/Z-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rin247/Z-Image", dtype=torch.bfloat16, device_map="cuda") 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
Upload README.md with huggingface_hub
Browse files
README.md
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@@ -52,8 +52,8 @@ Caught in the moment (candid, slice of life):
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masterpiece, best quality, highres, absurdres, very aesthetic, safe, 1woman,
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solo, candid moment, natural lighting.
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tree, petals falling, soft spring light.
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and brown eyes. She has a graceful build and a gentle smile. She wears a floral
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dress and a sun hat, holding a book, mid-read, candid and relaxed.
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```
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```
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masterpiece, best quality, highres, absurdres, very aesthetic, safe, 1woman,
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solo, candid moment, natural lighting. A garden bench under a blooming cherry
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tree, petals falling, soft spring light. A 33-year-old woman with an oval face
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and brown eyes. She has a graceful build and a gentle smile. She wears a floral
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dress and a sun hat, holding a book, mid-read, candid and relaxed.
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```
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