license: apache-2.0
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
- image-generation
- flux-diffusers
- diffusers
- photo
- realism
- Surrealism
- illustration
- experimental
- character
- historical person
- poetry
- literature
- history
- archival
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
library_name: diffusers
emoji: 🔜
instance_prompt: >-
ERNST style transposed layered illustration, Neurealist textographic photo
collage
widget:
- text: >-
RCA style agitprop poster, Neurealist textographic photo collage, MAYAK
style art by Mayakovsky
output:
url: LifeOkay3.png
- text: >-
film photograph portrait RCA style agitprop poster, Neurealist
textographic photo collage, MAYAK style art by Mayakovsky
output:
url: LifeOkay2.jpg
- text: >-
text: RCA style agitprop poster, Neurealist textographic photo collage,
MAYAK style art by Mayakovsky
output:
url: RcaMakeLifeOkay1.png
- text: >-
high definition award winning intricate dynamic photorealistic close up
photo portrait of RCA style agitprop poster, Neurealist textographic photo
collage, MAYAK style art by Mayakovsky
output:
url: MakeLifeCrop.jpg
- text: >-
high definition award winning intricate dynamic photorealistic close up
photo portrait of RCA style agitprop poster, Neurealist textographic photo
collage, MAYAK style art by Mayakovsky
output:
url: images/example_joimmx505.png
NEUREALLY TRANSPOSED COLLAGE FLUX LoRA for Posters, Illustrations, Book Covers, Collage art, Pamphlets, and more. By SilverAgePoets.com
An Experimental Repo where we will be testing out differently scale-coproportioned LoRA variants, each merged from two of our trained LoRAs.
Namely:
Our Neurealist Collage II^ LoRA (the de-distilled-FLUX-finetuned variant).
&
Our Ernst's Transposed Surreal Collage^ LoRA.
^: Neurealist Collage II*: fine-tuned over Genova Apex Dedistilled on a dataset wherein each image constitutes a vertically tiled 1x1 collaging, intentionally/conceptually compiled by us from landscape-format screenshots of a certain YouTube doc (with caption fragments) entitled "Why Are We So Confused?". Prior to getting cross-stacked in dialectic relation to one another, each image was tactically and mostly manually (not just i2i, etc) modified/detourned by us in a variety of ways, into what we might obscurely call, say, prepost-DAnaDAish/metoomoderny (anti?)memes or something like that...
In short, Neurealist Collage II LoRA was fine-tuned on vertically stacked screen-shape artworks with textboxed captions.
^^: Ernst's Transposed Surreal Collage: fine-tuned over Genova Apex Dedistilled on a dataset wherein each image constitutes a landscape-shaped overlay of two illustrations, each constituting a page from Max Ernst's pioneering 1934 surrealist textographic collage-novel Une semaine de bonté ("A Week of Kindness").
In fact, these opacity-overlays are screenshots from a batch/auto-colorized version of a long GIF-image-sequence of Ernst book pages in a randomized order (with some repetitions), with simple opacity-cross-shifting overlay transitions between them. As we predicted, the colorization model (locally-run DeOldify, video-variant) reacted in totally different ways to the same two images overlayed with a different opacity ratio.
The result of this was a vastly diversified range of aesthetic effects and chromatic qualities among the colorized frames. A selection from among these frames was then used by us as a fine-tuning dataset for the Ernst LoRA (or LoRAs, since it already exists in a few variants).
Trigger words
You should use ERNST style transposed layered illustration or/and `Neurealist textographic photo collage' to summon the poet's latent spirit.
Use it with the 🧨 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('AlekseyCalvin/AlekseyCalvin/NeureallyTransposedCollage_LoRA_bySilverAgePoets', weight_name='NeuroTransposedCollageLoRA_Scaled1.5_2.safetensors')
image = pipeline('your prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers