Instructions to use acjap/flux_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use acjap/flux_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("acjap/flux_model") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download model_metadata.ldb from acjap/flux_model: direct link, hf CLI and curl.
- Browser
- Download file 41 kB
-
https://huggingface.co/acjap/flux_model/resolve/main/model_metadata.ldb
- Command line
-
hf download hf://acjap/flux_model/model_metadata.ldb
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curl -L -o model_metadata.ldb https://huggingface.co/acjap/flux_model/resolve/main/model_metadata.ldb
41 kB
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