lichorosario
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Create README.md
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README.md
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---
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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language:
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- en
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tags:
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- flux
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- diffusers
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- lora
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base_model: black-forest-labs/FLUX.1-schnell
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pipeline_tag: text-to-image
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library_name: diffusers
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inference:
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parameters:
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width: 1024
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height: 1024
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widget:
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- text: A monkey. in a dark fantasy style, grainy
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output:
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url: images/example_ewve6k2r9.png
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- text: >-
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This is a playful digital cartoon illustration featuring a young boy and a
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white cat. The boy has a cheerful expression, with wide brown eyes and an
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open mouth, showing his teeth in a happy, excited manner. His brown hair is
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short and styled with a slightly angular cut, with a lighter patch of brown
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forming a beard along his jawline. He is wearing a bright orange
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long-sleeved shirt, which contrasts nicely against the green background.
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The white cat is nestled closely against the boy, with its front paws
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affectionately draped over his shoulder as though it's hugging him. The
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cat's large yellow eyes, with narrow, black vertical pupils, give it a
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curious yet calm expression. Its ears are pointed, and its pink nose and
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whiskers are drawn simply but add to its cute, friendly appearance. The
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background is a solid green, which provides a clean, colorful backdrop that
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allows the figures of the boy and cat to stand out. The illustration is
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rendered in a modern, vector art style, characterized by bold lines, smooth
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shapes, and vibrant colors, giving it a fun and lively feel. The interaction
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between the boy and the cat suggests a strong bond, adding warmth and charm
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to the image.. in a dark fantasy style, grainy
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output:
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url: images/example_ryhmxqlxi.png
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---
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# Tosti vector no captions (2500 steps)
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Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) under the [Glif Loradex program](https://huggingface.co/glif-loradex-trainer) by [Glif](https://glif.app) user `tostiok`.
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## Trigger words
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No trigger words
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<Gallery />
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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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('lichorosario/flux-samhtr-remastered', weight_name='lora.safetensors')
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image = pipeline('your prompt').images[0]
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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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