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-1000/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-1000/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://modamsko/undraw_test_4/checkpoint-1000/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/modamsko/undraw_test_4/resolve/main/checkpoint-1000/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 454356df0af5aa83bfa13ef2e02411c198e471863f8884442b9af54f451cb127
- Size of remote file:
- 492 MB
- SHA256:
- 0550b912464f976e17d8646951cf500720a637ad2ce78b5874d2307c55a4aa3c
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