Instructions to use soft987/FLUX.1.schnell-quant2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use soft987/FLUX.1.schnell-quant2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("soft987/FLUX.1.schnell-quant2", 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
Download tokenizer_2/tokenizer.json from soft987/FLUX.1.schnell-quant2: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/soft987/FLUX.1.schnell-quant2/resolve/main/tokenizer_2/tokenizer.json
- Command line
-
hf download hf://soft987/FLUX.1.schnell-quant2/tokenizer_2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/soft987/FLUX.1.schnell-quant2/resolve/main/tokenizer_2/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.