Text-to-Image
Diffusers
Safetensors
Flux2Pipeline
quantized
mxfp4
autoround
diffusion
autoquant-agent
Instructions to use INCModel3/FLUX.2-dev-MXFP4-RTN-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use INCModel3/FLUX.2-dev-MXFP4-RTN-AutoRound with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("INCModel3/FLUX.2-dev-MXFP4-RTN-AutoRound", 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 vae/diffusion_pytorch_model.safetensors from INCModel3/FLUX.2-dev-MXFP4-RTN-AutoRound: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/INCModel3/FLUX.2-dev-MXFP4-RTN-AutoRound/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://INCModel3/FLUX.2-dev-MXFP4-RTN-AutoRound/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/INCModel3/FLUX.2-dev-MXFP4-RTN-AutoRound/resolve/main/vae/diffusion_pytorch_model.safetensors
168 MB
- Xet hash:
- 4c88adde2b0936f05dbc7d09e3701b2764507059c6510ab326f8df22c4ecc237
- Size of remote file:
- 168 MB
- SHA256:
- ca70d2202afe6415bdbcb8793ba8cd99fd159cfe6192381504d6c4d3036e0f04
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.