Instructions to use ABDALLALSWAITI/aimaginedworlds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ABDALLALSWAITI/aimaginedworlds with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ABDALLALSWAITI/aimaginedworlds") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- e78d8b3ada175ad749531c9b22492f7bf4b9d0b06199ad354f75f68d1195f08f
- Size of remote file:
- 240 kB
- SHA256:
- 2795103ffc4e883cb12989bc40a6cfb572a83953902f7049f546a2e935c6ae90
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.