Instructions to use DrEsker/coalforest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DrEsker/coalforest with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DrEsker/coalforest", dtype=torch.bfloat16, device_map="cuda") prompt = "CoalForestSIM" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from DrEsker/coalforest: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/DrEsker/coalforest/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://DrEsker/coalforest/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DrEsker/coalforest/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- c5355f9119b0d39b8acc3fe4cce4312005bfe12467e6f4949f7e4e980783d02d
- Size of remote file:
- 492 MB
- SHA256:
- 020ae1d4221c623e9175268ea8377c5040cbd8527535aca5d83ca6c114909715
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