--- license: apache-2.0 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 Julian Assange, white hair, realistic Assange widget: - text: >- Photo of Julian Assange reading a book, amateur film camera photograph, realistically textured skin with pores, realistic Assange, white hair output: url: images/example_w0aiybaee.png --- ## Julian Assange Identity β„’π“Έβ„œπ΄ ## ||| By SilverAgePoets.com ||| A Low-Rank Adapter (LoRA) for FLUX-family models...
Intended to produce the likeness of Julian Assange circa roughly 2011-2014.
Made to create content for a conceptual animation project.
This LoRA was fine-tuned on a minimal set of widely available publicity photos, many (if not all) of which have almost certainly already gone into SD1.4/1.5 and maybe other models (albeit in unfocused-on forms), via news/etc-sourced pre-training data.
We politely ask you not to use this LoRA towards any creation, production, illustration, or any other use-case that might in any way compromise (or even so much as annoy) the real Assange.
## Prompt using: `Photo of Julian Assange, white hair, realistic Assange`, etc...
## 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/Julian_Assange_FluxLoRA_BySilverAgePoets') image = pipeline('your prompt').images[0] ```