Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use ccsimon123/path-to-save-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ccsimon123/path-to-save-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("ccsimon123/path-to-save-model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/text_encoder/pytorch_model.bin from ccsimon123/path-to-save-model: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/ccsimon123/path-to-save-model/resolve/main/checkpoint-500/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://ccsimon123/path-to-save-model/checkpoint-500/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ccsimon123/path-to-save-model/resolve/main/checkpoint-500/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 335bfbc3dd37186e139ec7b7c9dbd2ece4b969f94abdb305b4972ba0a426f9e4
- Size of remote file:
- 492 MB
- SHA256:
- bd885e663c724aa93409efecfe4ea836c08359dd3978a40b10aba9ee259e5bde
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