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--- |
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base_model: |
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- black-forest-labs/FLUX.1-dev |
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library_name: diffusers |
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tags: |
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- template:diffusion-lora |
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- flux.1-dev |
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- diffusers |
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- Text-to-Image |
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- flux |
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- lora |
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- soulday |
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- skull |
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- day of the dead |
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- flowers |
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pipeline_tag: text-to-image |
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widget: |
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- output: |
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url: images/0.jpeg |
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text: >- |
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soulday flowers, day of the dead, woman, facing the camera, daylight, parade |
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- output: |
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url: images/1.jpeg |
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text: >- |
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soulday flowers, day of the dead, woman, facing the camera, daylight, parade |
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- output: |
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url: images/2.jpeg |
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text: >- |
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soulday flowers, day of the dead, woman, facing the camera, daylight, parade |
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trigger: soulday flowers, day of the dead |
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instance_prompt: soulday flowers, day of the dead |
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license: other |
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license_name: flux-1-dev-non-commercial-license |
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--- |
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## About |
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The "soulday flowers, day of the dead" is a LoRA created from the SoulDay inspired artwork. |
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The style manifests itself in the output image via the trigger words in multiple objects: |
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1. **Faces** The human characters themselves have a particular style. |
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2. **Flower Crowns and Flower Bouquets** The humans have flower crowns and assorted flowers around them. |
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3. **Accessories** It can be seen in human accessories such as glasses, earrings, bracelets, pendants, etc. |
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4. **Clothing** The style is apparent in the clothing. |
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## SoulDay |
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SoulDay ($SDY) is a collectible ethereum token project from [GaleriaRodrigo.com](https://galeriarodrigo.com) |
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</br> |
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[Minted tokens](https://magiceden.us/collections/ethereum/0x5c6954f5df48035a6e339ef26f4167cb7e56d021) |
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</br> |
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[Minting tokens](https://soulday.io) |
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## Trigger words |
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You should use `soulday flowers, day of the dead` to trigger the image generation. |
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## Download model |
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Weights for this model are available in Safetensors format. |
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[Download](/galeriarodrigo/FLUX.1-dev-lora-soulday/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('galeriarodrigo/FLUX.1-dev-lora-soulday', weight_name='souldaystyle.safetensors') |
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image = pipeline('soulday flowers, day of the dead, woman, facing the camera, daylight, parade').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) |