Text-to-Image
Diffusers
Safetensors
GGUF
English
z-anime
image-generation
diffusion
anime
z-image
comfyui
fp8
bf16
aio
Instructions to use superkillshadow/Z-Anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use superkillshadow/Z-Anime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("superkillshadow/Z-Anime", 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
File size: 532 Bytes
8a7f791 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | {
"_class_name": "ZImageTransformer2DModel",
"_diffusers_version": "0.37.0.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,
"siglip_feat_dim": null,
"t_scale": 1000.0
}
|