Instructions to use misri/aingdiffusionXL_v11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use misri/aingdiffusionXL_v11 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("misri/aingdiffusionXL_v11", 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:
- a6f6d02c6c69c18cc72895c2ebe6cbdf68e3644882b95ffcf3796fa895b5b43e
- Size of remote file:
- 2.78 GB
- SHA256:
- 2207878a753b9fc374896de33587f05dfde3b84a0bea19796e4dbb0dda296bc2
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