Instructions to use Lo-Fi-gahara/FlowMatchingModel-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lo-Fi-gahara/FlowMatchingModel-checkpoints with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lo-Fi-gahara/FlowMatchingModel-checkpoints", 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
- Xet hash:
- 1b3f7696980986909fc3fd74547cde97838680ccefdcf7a24e52db3f1f2ed00f
- Size of remote file:
- 112 kB
- SHA256:
- cbde8fac44321e8d3be6f6840988aadd44da8efb0a8ce809c5a02965238adf81
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