GraySoft
Model Comparison

shing3232/sakura-1.5b-qwen2.5-v1.0-gguf-imxvsunsloth/z-image-turbo-gguf

Side-by-side comparison of shing3232/sakura-1.5b-qwen2.5-v1.0-gguf-imx and unsloth/z-image-turbo-gguf: downloads, license, context length, tasks, and benchmarks.

unsloth/z-image-turbo-gguf

unsloth · text-to-image

# Use bfloat16 for optimal performance on supported GPUs pipe = ZImagePipeline.from_pretrained( "Tongyi-MAI/Z-Image-Turbo", torch_dtype=torch.bfloat16, low_cpu_mem_usage=False, ) pipe.to("cuda") # [Optional] Attention Backend # Diffusers uses SDPA by default. Switch to Flash Att…

Side-by-side Specifications

shing3232/sakura-1.5b-qwen2.5-v1.0-gguf-imxunsloth/z-image-turbo-gguf
Authorshing3232unsloth
Pipeline Tasktext-to-image
Libraryggml
Downloads28,43344,268
Likes2133
LicenseUnknownUnknown
Context Length
Created2024-11-082025-12-21
Last Modified2024-11-082026-01-08
Tags
ggufendpoints_compatibleregion:usimatrixconversational
ggmlggufquantizedunslothtext-to-imageenarxiv:2511.22699arxiv:2511.22677arxiv:2511.13649base_model:Tongyi-MAI/Z-Image-Turbo

View full details: shing3232/sakura-1.5b-qwen2.5-v1.0-gguf-imx · unsloth/z-image-turbo-gguf