Instructions to use yujiepan/flux2-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yujiepan/flux2-tiny-random with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yujiepan/flux2-tiny-random", 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:
- e3b99440b07673266d48b98b4aec9f05f65e0c32f40324c559ff8fc6b5442419
- Size of remote file:
- 458 kB
- SHA256:
- 26425f0c556b86d314db50c2638d6d3f401002c847dcca1fc22984c1c7b764e6
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