Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use finalyear2023/Generative_Ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use finalyear2023/Generative_Ai with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("finalyear2023/Generative_Ai") prompt = "a photo of TOK dog" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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README.md
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instance_prompt: a photo of TOK dog
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license: openrail++
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---
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# SDXL LoRA DreamBooth - finalyear2023/vinit_LoRA
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<Gallery />
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## Model description
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These are finalyear2023/vinit_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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The weights were trained using [DreamBooth](https://dreambooth.github.io/).
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LoRA for the text encoder was enabled: False.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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## Trigger words
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You should use a photo of TOK dog 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](finalyear2023/vinit_LoRA/tree/main) them in the Files & versions tab.
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instance_prompt: a photo of TOK dog
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license: openrail++
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---
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## Model description
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These are finalyear2023/vinit_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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LoRA for the text encoder was enabled: False.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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