Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use modamsko/undraw_test_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use modamsko/undraw_test_4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("modamsko/undraw_test_4", dtype=torch.bfloat16, device_map="cuda") prompt = "vector style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from modamsko/undraw_test_4: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/modamsko/undraw_test_4/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://modamsko/undraw_test_4/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/modamsko/undraw_test_4/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 6b98d71ead42b2ab127d984fe6e707242ac37c146915866e99f6bb08d8878503
- Size of remote file:
- 3.44 GB
- SHA256:
- 2e2f8e05ceee0e998ebda0e182109a209833594e7bab38df4b505fd4ce4bffc9
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