Instructions to use optimum-intel-internal-testing/tiny-random-flux.2-klein with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use optimum-intel-internal-testing/tiny-random-flux.2-klein with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("optimum-intel-internal-testing/tiny-random-flux.2-klein", 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
| { | |
| "_from_model_config": true, | |
| "output_attentions": false, | |
| "output_hidden_states": true, | |
| "return_dict_in_generate": true, | |
| "transformers_version": "5.0.0", | |
| "use_cache": true | |
| } | |