|
--- |
|
license: other |
|
license_name: flux-1-dev-non-commercial-license |
|
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md |
|
language: |
|
- en |
|
tags: |
|
- flux |
|
- diffusers |
|
- lora |
|
- replicate |
|
base_model: "black-forest-labs/FLUX.1-dev" |
|
pipeline_tag: text-to-image |
|
instance_prompt: CNSTLL |
|
widget: |
|
- text: in the style of CNSTLL, a white car parked in front of a gas |
|
station, night time, cinestill 800T |
|
output: |
|
url: 1.png |
|
- text: >- |
|
in the style of CNSTLL , urban landscape, people fishing on Galata |
|
bridge in Istanbul at night |
|
output: |
|
url: 2.png |
|
- text: >- |
|
in the style of CNSTLL , photo of New York City at night, 4k |
|
output: |
|
url: 3.png |
|
- text: >- |
|
in the style of CNSTLL, an urban landscape with street sellers and |
|
a fish market at night, photorealistic |
|
output: |
|
url: 4.png |
|
--- |
|
|
|
# Flux Cinestill |
|
<Gallery /> |
|
|
|
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 [🧨 diffusers library](https://github.com/huggingface/diffusers) |
|
|
|
```py |
|
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) |
|
|
