Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use LinAnnJose/TomHolland with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LinAnnJose/TomHolland 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("LinAnnJose/TomHolland") prompt = "Photo of sks TomHolland" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#1
by LinAnnJose - opened
- README.md +5 -2
- images/example_lyoftilf7.png +0 -0
README.md
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---
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tags:
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- autotrain
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- diffusers
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- lora
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- template:sd-lora
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: Photo of sks TomHolland
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license: openrail++
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---
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# AutoTrain SDXL LoRA DreamBooth - LinAnnJose/TomHolland
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---
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tags:
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- autotrain
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- diffusers
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- lora
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- template:sd-lora
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: Photo of sks TomHolland
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license: openrail++
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widget:
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- text: Photo of sks TomHolland
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output:
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url: images/example_lyoftilf7.png
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---
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# AutoTrain SDXL LoRA DreamBooth - LinAnnJose/TomHolland
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images/example_lyoftilf7.png
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