Instructions to use schimmilol/tattoo-model-test-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use schimmilol/tattoo-model-test-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("schimmilol/tattoo-model-test-2", 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
Download text_encoder/pytorch_model.bin from schimmilol/tattoo-model-test-2: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/schimmilol/tattoo-model-test-2/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://schimmilol/tattoo-model-test-2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/schimmilol/tattoo-model-test-2/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 462342a3468a26f7e2cf5c412ed773494deda1971c6900d991496b18f418fa79
- Size of remote file:
- 246 MB
- SHA256:
- 50f7d80caae5af7613c1a9f356f2a400f859be599153191b16ea1b0a6716d5be
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