---
license: unlicense
language:
- en
base_model:
- black-forest-labs/FLUX.1-dev
tags:
- lora
- flux
- diffusers
- image-generation
pipeline_tag: text-to-image
library_name: diffusers
instance_prompt: >-
  photo of ACS person, tall and green-eyed, textured skin with blemishes and
  pores
widget:
- text: >-
    ACS, close up, Text: "WHO OUT HERE'S THE ANARCHIST IN CHARGE?!”, Photos of
    ACS person a textographic collage featuring two distinct sections or
    segments: section '1': The upper section shows a photograph of ACS poet,
    green-eyed, lined blemished skin with pores, extremely voluminous hair
    sticking out, dilated pupils,  brown voluminous messy hair,  in a red velvet
    suit, set against a vivid background with swirling clouds. section '2': The
    bottom section features a photo of androgynous ACS all agape with panic
    (with appearance adapted from Munsch's famous painting "The Scream”, which
    the collage's bottom section ‘2’ resembles). In '2' the subject screams amid
    a huge garden of building-like intricate 3D meta-Soviet monument obelisks
    dreamed up by an oracular Zinaida Mukhina on an eternal LSD trip out in some
    secular academic artist-curated afterlife for consistently righteous
    Communists, a surreal landscape of jagged but harmless, colorful forms
  output:
    url: images/example_hmbp641ix.png

---
## Aleksay Calvin SOON® Face Model I
## |||| By SilverAgePoets.com ||||

A Low-Rank Adapter (LoRA) for FLUX-family models... <br>
Intended to produce the likeness of us, the person writing these words. <br>
Made to create content for a conceptual animation project. <br>

<Gallery />

## Prompt using:
`photo of ACS person, tall and green-eyed, textured skin with blemishes and pores, brown hair`, etc...  <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/ACSoonr_ACS_Flux')
image = pipeline('your prompt').images[0]
```