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--- |
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base_model: OnomaAIResearch/Illustrious-xl-early-release-v0 |
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library_name: diffusers |
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license: openrail++ |
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tags: |
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- text-to-image |
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- text-to-image |
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- diffusers-training |
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- diffusers |
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- lora |
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- template:sd-lora |
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- stable-diffusion-xl |
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- stable-diffusion-xl-diffusers |
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widget: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the training script had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# SDXL LoRA - NLPBada/base_LoRA_512_512_bs6_step200 |
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<Gallery /> |
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## Model description |
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These are NLPBada/base_LoRA_512_512_bs6_step200 LoRA adaption weights for OnomaAIResearch/Illustrious-xl-early-release-v0. |
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The weights were trained using |
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LoRA for the text encoder was enabled: False. |
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Special VAE used for training: None. |
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## Trigger words |
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You should use ""In the style of irasutoya," 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](NLPBada/base_LoRA_512_512_bs6_step200/tree/main) them in the Files & versions tab. |
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## Intended uses & limitations |
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#### How to use |
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```python |
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#Adjusted guidance_scale + Negative Prompt |
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width = 1024 |
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height = 1024 |
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num_inference_steps = 60 |
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guidance_scale = 5.5 |
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# prompt = "In the style of irasutoya, 1girl, lightblue collared shirt, smiling with mouth closed, wearing glasses, eyes not visible, furrowed eyebrows, black bobbed parted hair" # @param |
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prompt = "In the style of irasutoya a boy wearing a darkcyan shirt, smiling with mouth closed, furrowing eyebrows, black pouty hair, upper body" # @param |
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negative_prompt = "duplicates, worst quality, bad quality, low quality, scan artifacts, jaggy lines, unclear" #@param |
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image = pipe(prompt, num_inference_steps=num_inference_steps, width=width, height=height, guidance_scale=guidance_scale).images[0] |
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image |
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``` |
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#### Limitations and bias |
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pending |
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## Training details |
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pending |