Instructions to use Deriq/Garfield-Diffusion-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Deriq/Garfield-Diffusion-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Deriq/Garfield-Diffusion-v1") prompt = "garfield, jon " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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README.md
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garfield, odie, jon, liz, nermal, food, mouse door, mouse, text, spider,
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arlene, nermal, killing spiders
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license: creativeml-openrail-m
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---
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# Garfield Diffusion
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Weights for this model are available in Safetensors format.
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[Download](/Deriq/Garfield-Diffusion-Remade-again/tree/main) them in the Files & versions tab.
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garfield, odie, jon, liz, nermal, food, mouse door, mouse, text, spider,
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arlene, nermal, killing spiders
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license: creativeml-openrail-m
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language:
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- en
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---
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# Garfield Diffusion
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Weights for this model are available in Safetensors format.
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[Download](/Deriq/Garfield-Diffusion-Remade-again/tree/main) them in the Files & versions tab.
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