Flux Cinestill
![](https://huggingface.co/adirik/flux-cinestill/resolve/main/1.png)
- Prompt
- in the style of CNSTLL, a white car parked in front of a gas station, night time, cinestill 800T
![](https://huggingface.co/adirik/flux-cinestill/resolve/main/2.png)
- Prompt
- in the style of CNSTLL , urban landscape, people fishing on Galata bridge in Istanbul at night
![](https://huggingface.co/adirik/flux-cinestill/resolve/main/3.png)
- Prompt
- in the style of CNSTLL , photo of New York City at night, 4k
![](https://huggingface.co/adirik/flux-cinestill/resolve/main/4.png)
- Prompt
- in the style of CNSTLL, an urban landscape with street sellers and a fish market at night, photorealistic
FLUX.1-Dev LoRA fine tuned on Cinestill 800T images on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Best suited for generating night and dusk time photograph-like images with a distinctive slight halation effect. Keywords that result in better generations "cinestill 800t", "night time", "dusk", "4k", "high resolution", "analog film".
Trigger words
You should use CNSTLL
to trigger the image generation.
Use it with the 𧨠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('adirik/flux-cinestill', 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 adirik/flux-cinestill
Base model
black-forest-labs/FLUX.1-dev