Instructions to use DmatryMakeev/diamonic-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DmatryMakeev/diamonic-v3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DmatryMakeev/diamonic-v3", 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 DmatryMakeev/diamonic-v3: direct link, hf CLI and curl.
- Browser
- Download file 681 MB
-
https://huggingface.co/DmatryMakeev/diamonic-v3/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://DmatryMakeev/diamonic-v3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DmatryMakeev/diamonic-v3/resolve/main/text_encoder/pytorch_model.bin
681 MB
- Xet hash:
- 242fa6b62df66f486d9bd52f87e0168df95bd385f9d7e4739cd995e11b91b723
- Size of remote file:
- 681 MB
- SHA256:
- c53bdb3d9601a2dd5da169973c3cbdf6812c784665e3e7de3eab30e5a4245798
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