Instructions to use TahaIqbal/designgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TahaIqbal/designgen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TahaIqbal/designgen", 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 TahaIqbal/designgen: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/TahaIqbal/designgen/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://TahaIqbal/designgen/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TahaIqbal/designgen/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- 9ae3706244c2610814e8f5459bb16eee775b51ad5c21cfdbbfe3c522454ae9f0
- Size of remote file:
- 1.36 GB
- SHA256:
- f0fdf7dd7555db8737698448161ae3dfe6ce73f5b20a6948af70b2443a2a0a76
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