How to use unsloth/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("unsloth/Z-Image-Turbo-FP8", dtype=torch.bfloat16, device_map="cuda") prompt = "cute sloth typing on a computer (INT8)" image = pipe(prompt).images[0]
How to use unsloth/Z-Image-Turbo-FP8 with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for unsloth/Z-Image-Turbo-FP8 to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for unsloth/Z-Image-Turbo-FP8 to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for unsloth/Z-Image-Turbo-FP8 to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="unsloth/Z-Image-Turbo-FP8", max_seq_length=2048, )
