Z-Image
Collection
2 items • Updated
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]Z-Image
Quantised media packages of Tongyi-MAI/Z-Image.
MECHA Forge
MECHA — Model Engineering & Contextual Hearth Assembly
These media packages have been forged and optimized in the MECHA Forge. Each one holds the Denoiser, Text Encoder, and VAE components packaged together for easier deployment.
Description
Z-Image: undistilled foundation image model. Supports CFG (4.0), negative prompts, LoRA/ControlNet. 28-50 steps.
Available quantizations
| Quant | Denoiser | Text encoder | VAE |
|---|---|---|---|
| FP4 | FP4 | FP4 | FP8 |
| FP8 | FP8 | FP8 | FP8 |
| INT4 | INT4 | INT4 | INT8 |
| INT8 | INT8 | INT8 | INT8 |
Recommended settings
From the source model card (adjust to taste):
| Parameter | Value |
|---|---|
| Steps | 28-50 |
| CFG / Guidance scale | 3.0-5.0 |
| Resolution | 512-2048 (total pixels) |
| Notes | Supports CFG and negative prompts; good for LoRA/ControlNet |
Example prompts
Caught in the moment (candid, slice of life):
masterpiece, best quality, highres, absurdres, very aesthetic, safe, 1woman,
solo, candid moment, natural lighting. A garden bench under a blooming cherry
tree, petals falling, soft spring light. A 33-year-old woman with an oval face
and brown eyes. She has a graceful build and a gentle smile. She wears a floral
dress and a sun hat, holding a book, mid-read, candid and relaxed.
Fashion photography (magazine cover style):
Fashion photography, magazine cover style: a 33-year-old woman with oval face,
brown eyes, and soft lips; wearing a floral maxi dress, straw hat, sandals;
garden backlight, elegant typography, 8K, sharp focus.
Scenery:
Scenery: a lavender field in Provence at golden hour, purple rows, stone
farmhouse, soft light, bees, photorealistic, 8K.
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