Update README.md

README.md

@@ -1,3 +1,37 @@
----
-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 Flex / Flux LoRA
+## ____||| By SilverAgePoets.com |||____
+
+<Gallery />
+This addition to our HSToric Color text-2-image model adapter series was fine-tuned over the [FLEX.1 Alpha (8B) model](https://huggingface.co/ostris/Flex.1-alpha): Ostris's ground-up modification of Flux to enable greater fine-tuning flexibility and extend the horizons of potential quality. <br>
+Like several of the other HST Color models, this version was traned on HD scans of early color photos (circa *1900s-1910s*) by **Sergey Prokudin-Gorsky**, who traveled and photographed widely in those years whilst perfecting implementations of a pioneering 3-color-composite photography technique.<br>  
+
+**This model is aimed at being useful for**:<br>
+- Producing realistic images reminiscent of color film analog photography, exhibiting parallels to a broad spectrum of iconic instrumentalities and visual paradigms, from Autochrome-to-Kodachrome-to-Fujifilm-and-beyond. <br>
+- Producing visuals with a vaguely "historical" or "lived-in" aesthetic character, striking chromaticity and luminosity dynamics, as well as textural/anatomical/skin details more reliably lifelike than through the use of other suchlike-use-case-catered adapters. <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/HSTcolorFlexAlpha')
+image = pipeline('your prompt').images[0]
+```