Text-to-Image
Diffusers
Safetensors
English
FluxPipeline
flux
quantization
bitsandbytes
int8
8-bit precision
Instructions to use Silan10/flux-quantized-bitsandbytes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Silan10/flux-quantized-bitsandbytes with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Silan10/flux-quantized-bitsandbytes", 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/merges.txt from Silan10/flux-quantized-bitsandbytes: direct link, hf CLI and curl.
- Browser
- Download file 525 kB
-
https://huggingface.co/Silan10/flux-quantized-bitsandbytes/resolve/main/tokenizer/merges.txt
- Command line
-
hf download hf://Silan10/flux-quantized-bitsandbytes/tokenizer/merges.txt
-
curl -L -o merges.txt https://huggingface.co/Silan10/flux-quantized-bitsandbytes/resolve/main/tokenizer/merges.txt
525 kB
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