Instructions to use mlgawd/flux_8bit_ref with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mlgawd/flux_8bit_ref with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mlgawd/flux_8bit_ref", 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
Upload FluxPipeline
Browse files
transformer/diffusion_pytorch_model-00001-of-00003.safetensors
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transformer/diffusion_pytorch_model.safetensors.index.json
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