Instructions to use Falah/sdxl2033 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Falah/sdxl2033 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Falah/sdxl2033", 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:
- 47d0e17a3285dd0cad65f7a77610e20c72203c6cd943cfea08e48cbb8221684e
- Size of remote file:
- 246 MB
- SHA256:
- 308b37c5c45501ab01177360e7157c423cd151d263a0f3ecfc87663c7192a2e0
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