Instructions to use magespace/FLUX.1-schnell-transformer-qint8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use magespace/FLUX.1-schnell-transformer-qint8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("magespace/FLUX.1-schnell-transformer-qint8", 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:
- 7c324ca08c891249625ddc4e830a5b068455294240b0d8858474a01cf3572993
- Size of remote file:
- 9.96 GB
- SHA256:
- 24bfba7acba9a88bb4fb8ee3ef7acdc963bc96a2f98b0717768bd5a5dd9dead7
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