Flux Condensation
![](https://huggingface.co/fofr/flux-condensation/resolve/main/images/example_2d3sjnkvb.png)
- Prompt
- the word "hello" written in CONDENSATION on the window
![](https://huggingface.co/fofr/flux-condensation/resolve/main/images/example_crzf2b8xi.png)
- Prompt
- the word "You suck!" written in CONDENSATION on the window
![](https://huggingface.co/fofr/flux-condensation/resolve/main/images/example_loupqxabk.png)
- Prompt
- the word "Hugging Face" written in CONDENSATION on the window
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use CONDENSATION
to trigger the image generation.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('fofr/flux-condensation', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for fofr/flux-condensation
Base model
black-forest-labs/FLUX.1-dev