Instructions to use CoolKrishh/Comic-SDXL-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CoolKrishh/Comic-SDXL-LoRA 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("CoolKrishh/Comic-SDXL-LoRA") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#2
by CoolKrishh - opened
- README.md +4 -0
- images/example_sy1d6nqwu.png +3 -0
README.md
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@@ -8,9 +8,13 @@ widget:
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- output:
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url: images/050.png
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text: '-'
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: Comic Style, Comic Art, Mythic, Illustration
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license: openrail++
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---
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# Comic_SDXL_LoRA
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- output:
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url: images/050.png
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text: '-'
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- text: A superhero saving the city
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output:
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url: images/example_sy1d6nqwu.png
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: Comic Style, Comic Art, Mythic, Illustration
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license: openrail++
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---
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# Comic_SDXL_LoRA
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images/example_sy1d6nqwu.png
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Git LFS Details
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