Instructions to use Disya/Z-Image_hereticV2-clip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disya/Z-Image_hereticV2-clip with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disya/Z-Image_hereticV2-clip", 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
- Xet hash:
- 02b81ac7cfbdde89192086ed0cece95ae790acb2aaf3d4486699314d35a7f7a5
- Size of remote file:
- 11.4 MB
- SHA256:
- 67cc0080ffd7555f723f423c27cfef314e1ad9d335c8b79f465c5faba1ed478b
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