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  5. README.md +78 -0
  6. flux_opus_ascii.safetensors +3 -0
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+ ---
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+ license: other
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+ license_name: bespoke-lora-trained-license
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+ license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
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+ tags:
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+ - text-to-image
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+ - stable-diffusion
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+ - lora
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+ - diffusers
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+ - template:sd-lora
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+ - migrated
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+ - abstract
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+ - style
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+ - ai
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+
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+ base_model: black-forest-labs/FLUX.1-dev
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+ instance_prompt: opus_ascii
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+ widget:
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+ - text: 'ascii art, opus_ascii, will smith eating spaghetti'
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+
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+ output:
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+ url: >-
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+ 31654319.jpeg
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+ - text: 'ascii art, opus_ascii, will smith eating spaghetti'
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+
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+ output:
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+ url: >-
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+ 31654332.jpeg
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+ - text: ' '
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+ output:
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+ url: >-
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+ 31654335.jpeg
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+ - text: ' '
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+ output:
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+ url: >-
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+ 31654340.jpeg
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+
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+ ---
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+
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+ # Opus ASCII FLUX
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+
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+ <Gallery />
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+
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+
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+
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+
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+
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+ ## Model description
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+
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+ <p>Trained on Claude Opus 3 ASCII art output latent space discovered by @dyot_meet_mat on twitter </p>
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+
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+ ## Trigger words
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+ You should use `opus_ascii` to trigger the image generation.
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+
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+
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+ ## Download model
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+
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+ Weights for this model are available in Safetensors format.
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+
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+ [Download](/veryVANYA/opus-ascii-flux/tree/main) them in the Files & versions tab.
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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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+ device = "cuda" if torch.cuda.is_available() else "cpu"
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+
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+ pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
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+ pipeline.load_lora_weights('veryVANYA/opus-ascii-flux', weight_name='flux_opus_ascii.safetensors')
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+ image = pipeline('`opus_ascii`').images[0]
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+ ```
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+
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+ For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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