Instructions to use fofr/flux-condensation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fofr/flux-condensation 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("fofr/flux-condensation") prompt = "the word \"hello\" written in CONDENSATION on the window" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download lora.safetensors from fofr/flux-condensation: direct link, hf CLI and curl.
- Browser
- Download file 172 MB
-
https://huggingface.co/fofr/flux-condensation/resolve/main/lora.safetensors
- Command line
-
hf download hf://fofr/flux-condensation/lora.safetensors
-
curl -L -o lora.safetensors https://huggingface.co/fofr/flux-condensation/resolve/main/lora.safetensors
172 MB
- Xet hash:
- 109cb926aca4de20f9d0bafaeddd8b0f9a9784f9e43f67632358dae05778d0ed
- Size of remote file:
- 172 MB
- SHA256:
- 0773424f2883cc97b4f9d75fb3736e87d4ea700563f51900b884ce2eb095d498
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