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README.md
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---
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tags:
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- flux
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- text-to-image
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- lora
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- diffusers
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- fal
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: unfavalen
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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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widget:
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- text: an old tv, vhs, with "Picasoe" written on screen
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output:
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url: images/example_477ley79r.png
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---
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#
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<Gallery />
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## Model description
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##
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## Training at fal.ai
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Training was done using [fal.ai/models/fal-ai/flux-lora-fast-training](https://fal.ai/models/fal-ai/flux-lora-fast-training).
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---
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tags:
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- text-to-image
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- lora
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- diffusers
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: unfavalen
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widget:
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- text: an old tv, vhs, with "Picasoe" written on screen
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output:
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url: images/example_477ley79r.png
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---
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# Picasoe
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<Gallery />
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## Model description
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Picasoe is a text-to-image model that features improved performance in image quality, typography, complex prompt understanding, and resource-efficiency.
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## Model Description
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- Developed by: [Robi Team](https://www.robiai.com/)
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- Model type: text-to-image generative model
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- Model Description: This model generates images based on text prompts.
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## How to use?
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The model is available via HuggingFace Inference API
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```
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from huggingface_hub import InferenceClient
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client = InferenceClient(
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provider="hf-inference",
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api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx"
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)
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image = client.text_to_image(
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"Astronaut riding a horse",
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model="robiai/picasoe"
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)
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```
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