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Upload folder using huggingface_hub
Browse files- 3011283.jpeg +0 -0
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- DD-sli-v1.safetensors +3 -0
- README.md +100 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f11ab822c157fd25338c498fc527cac49210965732a27d91f35250a5c247d91
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size 228453988
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README.md
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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=Rent&allowDerivatives=True&allowDifferentLicense=False
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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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- dark
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- concept
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- water
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- shadow
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- silhouette
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- backlighting
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- photogrphy
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- foreground
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: sli artstyle
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widget:
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- text: ' sil, artstyle, photo skull spaceman in water infront of fire'
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output:
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url: >-
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- text: ' sil, artstyle, photo skull spaceman in water infront of fire'
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output:
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url: >-
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- text: ' sil, artstyle, skeleton photo bear infront of moon'
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url: >-
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---
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# Doctor Diffusion's Stylized Silhouette Photography XL LoRA
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<Gallery />
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## Model description
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<p>Trained on a collection of my personal and CC0 stylized silhouette photography.<br /><br />Use "sli artyle" in prompt.<br /><br />Other powerful control Tokens:<br />"in water"<br />"vintage"<br />"infront of" "city" "fire" "space"<br />"backlight"<br /><br /><span style="color:rgb(17, 17, 17)">☕ </span>Like what I do? <span style="color:rgb(17, 17, 17)">☕</span><br /><span style="color:rgb(17, 17, 17)">☕ </span><a target="_blank" rel="ugc" href="https://www.buymeacoffee.com/doctordiffusion">Buy me a coffee or two</a>! <span style="color:rgb(17, 17, 17)">☕</span></p>
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## Trigger words
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You should use `sli artstyle`, `infront of`, `in water` 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](/DoctorDiffusion/doctor-diffusion-s-stylized-silhouette-photography-xl-lora/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('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('DoctorDiffusion/doctor-diffusion-s-stylized-silhouette-photography-xl-lora', weight_name='DD-sli-v1.safetensors')
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image = pipeline('`sli artstyle`, `infront of`, `in water`').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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