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/text_encoder/pytorch_model.bin from modamsko/undraw_test_4: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/modamsko/undraw_test_4/resolve/main/checkpoint-3000/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://modamsko/undraw_test_4/checkpoint-3000/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/modamsko/undraw_test_4/resolve/main/checkpoint-3000/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- dc6b6228139b39245eff36f833352310ae4e1f3abe1ec1a29f466319cf7fb01e
- Size of remote file:
- 492 MB
- SHA256:
- acaabbea5003dfa5539b4cedcfa782ee05f869d075a52c95ab8c1c58d375b4e1
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