Instructions to use rootlocalghost/Z-Image-Turbo-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rootlocalghost/Z-Image-Turbo-FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rootlocalghost/Z-Image-Turbo-FP8", 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
- Draw Things
- DiffusionBee
Upload FP8 quantized text_encoder/model-00001-of-00003.safetensors
Browse files
text_encoder/model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:becca4e6b91dd024312f52ba9c2e4722876320e5c8f02c6261bd0ec750540d18
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size 1978960808
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