Instructions to use KamCastle/meticulous with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamCastle/meticulous with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KamCastle/meticulous", 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 KamCastle/meticulous: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/KamCastle/meticulous/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://KamCastle/meticulous/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KamCastle/meticulous/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 1e81dafc74e190173fd27d7966f2521008607f55d6241205fbdbedaab26a935a
- Size of remote file:
- 492 MB
- SHA256:
- e36c31849ebf05899dcc14098d1f7661e4c4c452a28a109c332f405401d97790
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