Text-to-Image
Diffusers
Safetensors
English
Korean
ZImagePipeline
image-generation
quantized
bitsandbytes
nf4
4-bit precision
on-device
korean
pocket
vidraft
8-bit precision
Instructions to use AI-Joe-git/POCKET-Image-Zimage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AI-Joe-git/POCKET-Image-Zimage with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AI-Joe-git/POCKET-Image-Zimage", 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
- Xet hash:
- e47ee8b60637c0b499c122df7d5951c0ef6713f2ba76a514adb8f520debbb672
- Size of remote file:
- 2.65 GB
- SHA256:
- 8955b3ecb01b036ef517ddeb7fb2688f7293e84b3cba10b32fe4477af51af483
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