Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use codeiceman/bread-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codeiceman/bread-model2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("codeiceman/bread-model2") prompt = "I want to eat delicious breads" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_0.png from codeiceman/bread-model2: direct link, hf CLI and curl.
- Browser
- Download file 1.14 MB
-
https://huggingface.co/codeiceman/bread-model2/resolve/main/image_0.png
- Command line
-
hf download hf://codeiceman/bread-model2/image_0.png
-
curl -L -o image_0.png https://huggingface.co/codeiceman/bread-model2/resolve/main/image_0.png
1.14 MB

- Xet hash:
- 8251fd560e6f347c7ed98359d8e8fc577e045fb7b8d802c023d05aaa8815af61
- Size of remote file:
- 1.14 MB
- SHA256:
- 4c2992d1bce31afdd4006f1cdff4dcdc06f8f3bb8ef503ced0c3f5623ab853a2
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