Update README.md

README.md

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----
-license: apache-2.0
----
+---
+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 photograph
+---
+
+## HSToric Color Lush Apparition V.1 Low-Rank Adapter
+## ____||| By SilverAgePoets.com |||____
+
+<Gallery />
+<br>
+ 
+Our two HSToric Color Lush Apparition HSToric Color low rank adapters series are belatedly shared byproducts of our early Flux training experiments and projects Flux circa summer of 2024. Basically, we wanted to reposition the definition of "quality" when it comes to photorealistic inference using the open/distilled Flux variants, particularly Schnell.  <br>
+To achieve this, we turned to the very beginnings of historical photography in color: the archival legacy (from circa *1900s-1910s* ) of the photographers **Sergey Prokudin-Gorsky**, who traveled and photographed widely in those years whilst perfecting implementations of a pioneering 3-color-composite photography technique.<br>  
+This LoRA represents one of our many attempts/approaches to charging the representational powers of Flux with the uncanny character and finesse of Prokudin's visionary captures. <br>
+You might find, however, that the Lush Apparition LoRAs are something more than just aesthetically unique. They are also more than a little... demented. And extremely creative.  In short, they seldom quite follow prompts.  <br>
+This is because whilst producing these two LoRAS we were experimenting with targeted fine-tuning solely over specified layers/components of the base model. Trying out all sorts of layer combos, we strayed far from the commonplace quick-train surface targeting character LoRA templates. <br>  Naturally, these trainings were also high rank. See the configs for more details. <br>
+
+## Trigger words
+You should use `HST style autochrome photograph` to open a vivid window into a chromatically bewitching ever-futurous past.<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/HSTcolorFlux_LushApparitionLoRAvI_BySilverAgePoets')
+image = pipeline('your prompt').images[0]
+```
+---