---
license: apache-2.0
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: >-
  HST style autochrome color analog film photogravure photo, phantasmal garden,
  antique kodachrome, surrealist eroticism, gothic photograph, crisp textures,
  intricately detailed
widget:
- text: >-
    HST style autochrome color photogravure
  output:
    url: 2.jpg
- text: >-
    HST style autochrome color photogravure analog film photo of a desperate
    male Russian poet screaming in panic as garden burns all around him with
    mystical flames, golden ratio proportions , phantasmal garden, antique
    pictoralist early kodachrome, surrealist eroticism, gothic photograph, crisp
    textures, intricately detailed artistic conceptual photography', and the
    suchlike...
  output:
    url: images/example_xl7mwgu47.png

---
## Phantasmal Photogravure: Another HSToric Color LoRA
## ____||| By SilverAgePoets.com |||____

<Gallery /> 
Yet another of out antique photography style Flux LoRAS, mainly trained on vageully sureal pictoralist prints from between the 1880s and the 1920s. Lots of garden, mists, personas of nymphs and deities adopted by bohemian models.   <br>                    

## Trigger words
To gently nudge open the wine fence gate with its shifty serpentine designs and enter this phantasmagoric garden, enspell`HST style autochrome photograph` or 'HST style autochrome color photogravure analog film photo, phantasmal garden, antique pictoralist early kodachrome, surrealist eroticism, gothic photograph, crisp textures, intricately detailed artistic conceptual photography', and the suchlike... <br>

## 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('AlekseyCalvin/PhantasmalPhotogravures_FluxLoRA_BySilverAgePoets')
image = pipeline('your prompt').images[0]
```