Instructions to use kraina/map_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kraina/map_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kraina/map_diffusion", 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 kraina/map_diffusion: direct link, hf CLI and curl.
- Browser
- Download file 166 kB
-
https://huggingface.co/kraina/map_diffusion/resolve/e002c2ffec98562a75b97bf581d16a0b0b2990b9/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://kraina/map_diffusion@e002c2ffec98562a75b97bf581d16a0b0b2990b9/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kraina/map_diffusion/resolve/e002c2ffec98562a75b97bf581d16a0b0b2990b9/text_encoder/pytorch_model.bin
166 kB
- Xet hash:
- 0149aa3e3717eb743cbb7182913225458f1d7c50cae55d0e9cc768f0cfdfa695
- Size of remote file:
- 166 kB
- SHA256:
- 3b465fe593757bc41341575313d740c7b2ee9285e8b4a57bcb610cde5926d73a
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