Instructions to use TestOrganizationPleaseIgnore/AniReal-Qwen-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TestOrganizationPleaseIgnore/AniReal-Qwen-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TestOrganizationPleaseIgnore/AniReal-Qwen-Image", 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:
- c820a8cef42cd8bd4e3c7f8e66ac6559d67524c23165e1a1da4afc0c8d5fc7a6
- Size of remote file:
- 16.6 GB
- SHA256:
- 26fa644c8e61aa8185da5055b61aa28d6897fee102c2f43173acab657c4257a1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.