Text-to-Image
Diffusers
Safetensors
ZImagePipeline
z-image
nunchaku
svdquant
int4
quantization
8-bit precision
Instructions to use lite-infer/z-image-turbo-nunchaku-lite-int4_r32-bnb4-text-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lite-infer/z-image-turbo-nunchaku-lite-int4_r32-bnb4-text-encoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lite-infer/z-image-turbo-nunchaku-lite-int4_r32-bnb4-text-encoder", torch_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 Settings
- Draw Things
- DiffusionBee
| { | |
| "_class_name": "ZImageTransformer2DModel", | |
| "_diffusers_version": "0.36.0.dev0", | |
| "all_f_patch_size": [ | |
| 1 | |
| ], | |
| "all_patch_size": [ | |
| 2 | |
| ], | |
| "axes_dims": [ | |
| 32, | |
| 48, | |
| 48 | |
| ], | |
| "axes_lens": [ | |
| 1536, | |
| 512, | |
| 512 | |
| ], | |
| "cap_feat_dim": 2560, | |
| "dim": 3840, | |
| "in_channels": 16, | |
| "n_heads": 30, | |
| "n_kv_heads": 30, | |
| "n_layers": 30, | |
| "n_refiner_layers": 2, | |
| "norm_eps": 1e-05, | |
| "qk_norm": true, | |
| "rope_theta": 256.0, | |
| "t_scale": 1000.0, | |
| "quantization_config": { | |
| "quant_method": "nunchaku_lite", | |
| "compute_dtype": "bfloat16", | |
| "svdq_w4a4": { | |
| "precision": "int4", | |
| "group_size": 64, | |
| "rank": 32, | |
| "targets": [ | |
| "context_refiner.0.attention.to_k", | |
| "context_refiner.0.attention.to_out.0", | |
| "context_refiner.0.attention.to_q", | |
| "context_refiner.0.attention.to_v", | |
| "context_refiner.0.feed_forward.w1", | |
| "context_refiner.0.feed_forward.w2", | |
| "context_refiner.0.feed_forward.w3", | |
| "context_refiner.1.attention.to_k", | |
| "context_refiner.1.attention.to_out.0", | |
| "context_refiner.1.attention.to_q", | |
| "context_refiner.1.attention.to_v", | |
| "context_refiner.1.feed_forward.w1", | |
| "context_refiner.1.feed_forward.w2", | |
| "context_refiner.1.feed_forward.w3", | |
| "layers.0.attention.to_k", | |
| "layers.0.attention.to_out.0", | |
| "layers.0.attention.to_q", | |
| "layers.0.attention.to_v", | |
| "layers.0.feed_forward.w1", | |
| "layers.0.feed_forward.w2", | |
| "layers.0.feed_forward.w3", | |
| "layers.1.attention.to_k", | |
| "layers.1.attention.to_out.0", | |
| "layers.1.attention.to_q", | |
| "layers.1.attention.to_v", | |
| "layers.1.feed_forward.w1", | |
| "layers.1.feed_forward.w2", | |
| "layers.1.feed_forward.w3", | |
| "layers.10.attention.to_k", | |
| "layers.10.attention.to_out.0", | |
| "layers.10.attention.to_q", | |
| "layers.10.attention.to_v", | |
| "layers.10.feed_forward.w1", | |
| "layers.10.feed_forward.w2", | |
| "layers.10.feed_forward.w3", | |
| "layers.11.attention.to_k", | |
| "layers.11.attention.to_out.0", | |
| "layers.11.attention.to_q", | |
| "layers.11.attention.to_v", | |
| "layers.11.feed_forward.w1", | |
| "layers.11.feed_forward.w2", | |
| "layers.11.feed_forward.w3", | |
| "layers.12.attention.to_k", | |
| "layers.12.attention.to_out.0", | |
| "layers.12.attention.to_q", | |
| "layers.12.attention.to_v", | |
| "layers.12.feed_forward.w1", | |
| "layers.12.feed_forward.w2", | |
| "layers.12.feed_forward.w3", | |
| "layers.13.attention.to_k", | |
| "layers.13.attention.to_out.0", | |
| "layers.13.attention.to_q", | |
| "layers.13.attention.to_v", | |
| "layers.13.feed_forward.w1", | |
| "layers.13.feed_forward.w2", | |
| "layers.13.feed_forward.w3", | |
| "layers.14.attention.to_k", | |
| "layers.14.attention.to_out.0", | |
| "layers.14.attention.to_q", | |
| "layers.14.attention.to_v", | |
| "layers.14.feed_forward.w1", | |
| "layers.14.feed_forward.w2", | |
| "layers.14.feed_forward.w3", | |
| "layers.15.attention.to_k", | |
| "layers.15.attention.to_out.0", | |
| "layers.15.attention.to_q", | |
| "layers.15.attention.to_v", | |
| "layers.15.feed_forward.w1", | |
| "layers.15.feed_forward.w2", | |
| "layers.15.feed_forward.w3", | |
| "layers.16.attention.to_k", | |
| "layers.16.attention.to_out.0", | |
| "layers.16.attention.to_q", | |
| "layers.16.attention.to_v", | |
| "layers.16.feed_forward.w1", | |
| "layers.16.feed_forward.w2", | |
| "layers.16.feed_forward.w3", | |
| "layers.17.attention.to_k", | |
| "layers.17.attention.to_out.0", | |
| "layers.17.attention.to_q", | |
| "layers.17.attention.to_v", | |
| "layers.17.feed_forward.w1", | |
| "layers.17.feed_forward.w2", | |
| "layers.17.feed_forward.w3", | |
| "layers.18.attention.to_k", | |
| "layers.18.attention.to_out.0", | |
| "layers.18.attention.to_q", | |
| "layers.18.attention.to_v", | |
| "layers.18.feed_forward.w1", | |
| "layers.18.feed_forward.w2", | |
| "layers.18.feed_forward.w3", | |
| "layers.19.attention.to_k", | |
| "layers.19.attention.to_out.0", | |
| "layers.19.attention.to_q", | |
| "layers.19.attention.to_v", | |
| "layers.19.feed_forward.w1", | |
| "layers.19.feed_forward.w2", | |
| "layers.19.feed_forward.w3", | |
| "layers.2.attention.to_k", | |
| "layers.2.attention.to_out.0", | |
| "layers.2.attention.to_q", | |
| "layers.2.attention.to_v", | |
| "layers.2.feed_forward.w1", | |
| "layers.2.feed_forward.w2", | |
| "layers.2.feed_forward.w3", | |
| "layers.20.attention.to_k", | |
| "layers.20.attention.to_out.0", | |
| "layers.20.attention.to_q", | |
| "layers.20.attention.to_v", | |
| "layers.20.feed_forward.w1", | |
| "layers.20.feed_forward.w2", | |
| "layers.20.feed_forward.w3", | |
| "layers.21.attention.to_k", | |
| "layers.21.attention.to_out.0", | |
| "layers.21.attention.to_q", | |
| "layers.21.attention.to_v", | |
| "layers.21.feed_forward.w1", | |
| "layers.21.feed_forward.w2", | |
| "layers.21.feed_forward.w3", | |
| "layers.22.attention.to_k", | |
| "layers.22.attention.to_out.0", | |
| "layers.22.attention.to_q", | |
| "layers.22.attention.to_v", | |
| "layers.22.feed_forward.w1", | |
| "layers.22.feed_forward.w2", | |
| "layers.22.feed_forward.w3", | |
| "layers.23.attention.to_k", | |
| "layers.23.attention.to_out.0", | |
| "layers.23.attention.to_q", | |
| "layers.23.attention.to_v", | |
| "layers.23.feed_forward.w1", | |
| "layers.23.feed_forward.w2", | |
| "layers.23.feed_forward.w3", | |
| "layers.24.attention.to_k", | |
| "layers.24.attention.to_out.0", | |
| "layers.24.attention.to_q", | |
| "layers.24.attention.to_v", | |
| "layers.24.feed_forward.w1", | |
| "layers.24.feed_forward.w2", | |
| "layers.24.feed_forward.w3", | |
| "layers.25.attention.to_k", | |
| "layers.25.attention.to_out.0", | |
| "layers.25.attention.to_q", | |
| "layers.25.attention.to_v", | |
| "layers.25.feed_forward.w1", | |
| "layers.25.feed_forward.w2", | |
| "layers.25.feed_forward.w3", | |
| "layers.26.attention.to_k", | |
| "layers.26.attention.to_out.0", | |
| "layers.26.attention.to_q", | |
| "layers.26.attention.to_v", | |
| "layers.26.feed_forward.w1", | |
| "layers.26.feed_forward.w2", | |
| "layers.26.feed_forward.w3", | |
| "layers.27.attention.to_k", | |
| "layers.27.attention.to_out.0", | |
| "layers.27.attention.to_q", | |
| "layers.27.attention.to_v", | |
| "layers.27.feed_forward.w1", | |
| "layers.27.feed_forward.w2", | |
| "layers.27.feed_forward.w3", | |
| "layers.28.attention.to_k", | |
| "layers.28.attention.to_out.0", | |
| "layers.28.attention.to_q", | |
| "layers.28.attention.to_v", | |
| "layers.28.feed_forward.w1", | |
| "layers.28.feed_forward.w2", | |
| "layers.28.feed_forward.w3", | |
| "layers.29.attention.to_k", | |
| "layers.29.attention.to_out.0", | |
| "layers.29.attention.to_q", | |
| "layers.29.attention.to_v", | |
| "layers.29.feed_forward.w1", | |
| "layers.29.feed_forward.w2", | |
| "layers.29.feed_forward.w3", | |
| "layers.3.attention.to_k", | |
| "layers.3.attention.to_out.0", | |
| "layers.3.attention.to_q", | |
| "layers.3.attention.to_v", | |
| "layers.3.feed_forward.w1", | |
| "layers.3.feed_forward.w2", | |
| "layers.3.feed_forward.w3", | |
| "layers.4.attention.to_k", | |
| "layers.4.attention.to_out.0", | |
| "layers.4.attention.to_q", | |
| "layers.4.attention.to_v", | |
| "layers.4.feed_forward.w1", | |
| "layers.4.feed_forward.w2", | |
| "layers.4.feed_forward.w3", | |
| "layers.5.attention.to_k", | |
| "layers.5.attention.to_out.0", | |
| "layers.5.attention.to_q", | |
| "layers.5.attention.to_v", | |
| "layers.5.feed_forward.w1", | |
| "layers.5.feed_forward.w2", | |
| "layers.5.feed_forward.w3", | |
| "layers.6.attention.to_k", | |
| "layers.6.attention.to_out.0", | |
| "layers.6.attention.to_q", | |
| "layers.6.attention.to_v", | |
| "layers.6.feed_forward.w1", | |
| "layers.6.feed_forward.w2", | |
| "layers.6.feed_forward.w3", | |
| "layers.7.attention.to_k", | |
| "layers.7.attention.to_out.0", | |
| "layers.7.attention.to_q", | |
| "layers.7.attention.to_v", | |
| "layers.7.feed_forward.w1", | |
| "layers.7.feed_forward.w2", | |
| "layers.7.feed_forward.w3", | |
| "layers.8.attention.to_k", | |
| "layers.8.attention.to_out.0", | |
| "layers.8.attention.to_q", | |
| "layers.8.attention.to_v", | |
| "layers.8.feed_forward.w1", | |
| "layers.8.feed_forward.w2", | |
| "layers.8.feed_forward.w3", | |
| "layers.9.attention.to_k", | |
| "layers.9.attention.to_out.0", | |
| "layers.9.attention.to_q", | |
| "layers.9.attention.to_v", | |
| "layers.9.feed_forward.w1", | |
| "layers.9.feed_forward.w2", | |
| "layers.9.feed_forward.w3", | |
| "noise_refiner.0.attention.to_k", | |
| "noise_refiner.0.attention.to_out.0", | |
| "noise_refiner.0.attention.to_q", | |
| "noise_refiner.0.attention.to_v", | |
| "noise_refiner.0.feed_forward.w1", | |
| "noise_refiner.0.feed_forward.w2", | |
| "noise_refiner.0.feed_forward.w3", | |
| "noise_refiner.1.attention.to_k", | |
| "noise_refiner.1.attention.to_out.0", | |
| "noise_refiner.1.attention.to_q", | |
| "noise_refiner.1.attention.to_v", | |
| "noise_refiner.1.feed_forward.w1", | |
| "noise_refiner.1.feed_forward.w2", | |
| "noise_refiner.1.feed_forward.w3" | |
| ] | |
| } | |
| } | |
| } | |