Instructions to use TejasNavada/tattoo-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TejasNavada/tattoo-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TejasNavada/tattoo-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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# Text-to-image diffusion - TejasNavada/tattoo-diffusion
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This pipeline was trained on the **Drozdik/tattoo_v3** dataset. Below are some example images generated with the finetuned pipeline using the following prompts:
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['a dragon on a white background',
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# Text-to-image diffusion - TejasNavada/tattoo-diffusion
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This pipeline was trained on the **Drozdik/tattoo_v3** dataset. Below are some example images generated with the finetuned pipeline using the following prompts:
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['a dragon on a white background', ' a fiery skull', 'a skull', 'a face', 'a snake and skull']
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