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--- |
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tags: |
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- text-to-image |
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- flux |
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- lora |
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- diffusers |
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- template:sd-lora |
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- ai-toolkit |
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widget: |
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- text: A person in a bustling cafe retrofuturereality |
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output: |
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url: samples/1730449588335__000001000_0.jpg |
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- text: a white spaceship in the middle of a space station, with a watermark in |
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the top right corner. The spaceship appears to be in the process of being |
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built, as evidenced by the various tools and materials scattered around it. |
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retrofuturereality |
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output: |
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url: samples/1730449604541__000001000_1.jpg |
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- text: a man and woman standing next to each other in a room, smiling. The woman |
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is wearing a necklace and the man is wearing formal dress. In the background, |
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there are a number of people and lights retrofuturereality |
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output: |
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url: samples/1730449620769__000001000_2.jpg |
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base_model: black-forest-labs/FLUX.1-dev |
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instance_prompt: retrofuturereality |
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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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--- |
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# retrofuturereality |
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Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) |
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<Gallery /> |
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## Trigger words |
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You should use `retrofuturereality` to trigger the image generation. |
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## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc. |
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Weights for this model are available in Safetensors format. |
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[Download](/life/retrofuturereality/tree/main) them in the Files & versions tab. |
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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.bfloat16).to('cuda') |
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pipeline.load_lora_weights('life/retrofuturereality', weight_name='retrofuturereality.safetensors') |
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image = pipeline('A person in a bustling cafe retrofuturereality').images[0] |
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image.save("my_image.png") |
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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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