---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- person
- photorealistic
- female
- style
- woman
- cute
- game character
- girls
- male
- man
- realistic
- crocheted
- amigurami
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: Amigurami
widget:
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output:
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output:
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output:
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output:
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- text: ' '
output:
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output:
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- text: ' '
output:
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- text: ' '
output:
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- text: ' '
output:
url: >-
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---
# Amigurami.Redmond - Amigurami Crochet SD XL Lora.
I'm grateful for the GPU time from Redmond.AI that allowed me to finish this LORA!
Want to test and have acess to all my AI Stuff? Check my website!
This is a Amigurami LORA fine-tuned on SD XL 1.0.
Test all my Loras here for free and unlimited. Thanks, HF, for Inference API!
The LORA has a high capacity to generate Amigurami Crochet in a wide variety of themes. It's a versatile LORA.
The tag for the model: Amigurami, Crochet
I really hope you like the LORA and use it.
If you like the model and think it's worth it, you can make a donation to my Patreon or Ko-fi.
Follow me in my twitter to know before all about new models:
## Trigger words You should use `Amigurami`, `Crochet` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/artificialguybr/amigurami-redmond-amigurami-crochet-sd-xl-lora/tree/main) them in the Files & versions tab. ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) ```py from diffusers import AutoPipelineForText2Image import torch pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda') pipeline.load_lora_weights('artificialguybr/amigurami-redmond-amigurami-crochet-sd-xl-lora', weight_name='AmiguramiRedmond-Crochet-Amigurumi.safetensors') image = pipeline('`Amigurami`, `Crochet`').images[0] ``` 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)