Instructions to use MasterElli/tlozmixedtest01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MasterElli/tlozmixedtest01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MasterElli/tlozmixedtest01", 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:
- 3d4766486b5f591264e57015661b89150393b222b7bfc664701b99a53c5cc652
- Size of remote file:
- 246 MB
- SHA256:
- 4725e2fb787936db37f20f4f076e373af10c43fbce22a4a3ac489c1007919b9b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.