Instructions to use fal/Z-Image-Turbo-Control-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/Z-Image-Turbo-Control-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/Z-Image-Turbo-Control-FlashPack", 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
Update model_index.json
Browse files- model_index.json +1 -1
model_index.json
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@@ -15,7 +15,7 @@
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],
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"transformer": [
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"z_image.model",
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"
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],
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"vae": [
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"z_image.vae",
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],
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"transformer": [
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"z_image.model",
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+
"ZImageControlTransformer"
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],
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"vae": [
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"z_image.vae",
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