Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use iainmcqueen/coffee_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iainmcqueen/coffee_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("iainmcqueen/coffee_model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of a ctsseveneleven coffee cup" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/text_encoder/pytorch_model.bin from iainmcqueen/coffee_model: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/iainmcqueen/coffee_model/resolve/main/checkpoint-500/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://iainmcqueen/coffee_model/checkpoint-500/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/iainmcqueen/coffee_model/resolve/main/checkpoint-500/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 650f1bfdd9b70cb2890115ac9214de1cf6551001f87bebd40cdd0f0b88daf379
- Size of remote file:
- 492 MB
- SHA256:
- 6b38ca658fa11a53aa1a660506509534b97b5b6a29bc0fe8afa4f65c6a71f368
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