Instructions to use LyliaEngine/Fundiais with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LyliaEngine/Fundiais with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LyliaEngine/Fundiais") prompt = "fu_nd1a1s, high detail, intense focus, very awa, masterpiece, best quality, newest, absurdres, highres, focus, depth of field, dynamic angle, cinematic lighting, volumetric lighting, ayase momo, 1girl, solo, looking at viewer, smile, short hair, bangs, skirt, brown hair, shirt, long sleeves, bow, hair between eyes, brown eyes, jewelry, school uniform, jacket, white shirt, pleated skirt, earrings, outdoors, open clothes, choker, collared shirt, bowtie, grin, red bow, open jacket, blue skirt, night, black choker, outstretched arm, building, red bowtie, city, cityscape, city lights, neon lights, <lora:Fundiais:1>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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## Model description
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fu_nd1a1s, is the trigger
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lora trained based on some images found on twitter
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## Trigger words
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You should use `spot color` to trigger the image generation.
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## Download model
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## Model description
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fu_nd1a1s, is the trigger
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lora trained based on some images found on twitter
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`flat_color, is an optional tag, the lora work best with anime type checkpoints
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## Trigger words
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You should use `spot color` to trigger the image generation.
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## Source
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https://civitai.red/models/2416676/fundiais-or-by-utdt69?modelVersionId=2717079
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## Credit
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https://civitai.red/user/UTdT_69
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## Download model
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