Instructions to use Academia-SD/flux1-dev-text_encoders-NF4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Academia-SD/flux1-dev-text_encoders-NF4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Academia-SD/flux1-dev-text_encoders-NF4", 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
- Draw Things
- DiffusionBee
flux1-dev-text_encoders-NF4
This HF repository contains the Text Encoders and VAE for FLUX.1-dev (supported by FLUX.1-dev Canny and FLUX.1-dev Depth)
All the original licensing terms and usage restrictions remain in effect.
For Forge WebUI and ComfyUI tutorials
You can follow and see Spanish videos tutorials (English IA Dub and English Subtitles) on https://www.youtube.com/@Academia_SD
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Model tree for Academia-SD/flux1-dev-text_encoders-NF4
Base model
black-forest-labs/FLUX.1-dev