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 checkpoint-3000/optimizer.bin from modamsko/undraw_test_4: direct link, hf CLI and curl.
- Browser
- Download file 7.86 GB
-
https://huggingface.co/modamsko/undraw_test_4/resolve/main/checkpoint-3000/optimizer.bin
- Command line
-
hf download hf://modamsko/undraw_test_4/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/modamsko/undraw_test_4/resolve/main/checkpoint-3000/optimizer.bin
7.86 GB
- Xet hash:
- 718e538bcf6c45ec90499e7ea67478a19ae4ac787cd3f2a61aec5eb8834b9a5b
- Size of remote file:
- 7.86 GB
- SHA256:
- acb48d13011f313a3c9660c22c1bab5be5e14f037358105a17c9b146fe307f36
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