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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: unlicense
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+ language:
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+ - en
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+ base_model:
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+ - black-forest-labs/FLUX.1-dev
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+ tags:
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+ - lora
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+ - flux
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+ - diffusers
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+ - image-generation
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+ pipeline_tag: text-to-image
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+ library_name: diffusers
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+ instance_prompt: >-
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+ photo of ACTsoonr the skeleton stylist, androgynous thin green-eyed tall person with a messy punky asymmetrical brown haircut long on one side and short on the other and sticking up on the top, textured skin with some blemishes and pores, fancy outfit, skinny pants, button-up shirt with tie or ascot
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+ textural details, analog photo
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+ ---
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+ ## Aleksay Calvin / actSOON® Identity Model IV
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+ ## |||| By SilverAgePoets.com ||||
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+
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+ Another Low-Rank Adapter (LoRA) for FLUX-family models... <br>
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+ Intended to produce a character based on the weirdo likeness of our selves, such as the person writing these words may sometimes appear (or even respond, if more seldomly). <br>
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+ We trained this to create content for conceptual animation projects (or/and silly text messages), but we welcome anyone to freely appropriate and exploit our appearance for any reason or purpose, for as long as it does not aim/profess to represent or to deliberately/directly impact/influence our personal or public life/person. <br>
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+
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+ <Gallery />
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+
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+ ## Prompt using:
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+ `photo of ACTsoonr the skeleton stylist, androgynous thin green-eyed tall person with a messy punky asymmetrical brown haircut long on one side and short on the other and sticking up on the top, textured skin with some blemishes and pores, fancy outfit, skinny pants, button-up shirt with tie or ascot`, etc... <br>
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+
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+ ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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+
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+ ```py
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+ from diffusers import AutoPipelineForText2Image
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+ import torch
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+
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+ pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
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+ pipeline.load_lora_weights('AlekseyCalvin/ACTsoonr_FluxIdentityModelVar4')
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+ image = pipeline('your prompt').images[0]
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+ ```