Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
diffusers-training
Instructions to use Andy9310/saved_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Andy9310/saved_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("Andy9310/saved_model", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of the <new1> style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1000/optimizer.bin from Andy9310/saved_model: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/Andy9310/saved_model/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://Andy9310/saved_model/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Andy9310/saved_model/resolve/main/checkpoint-1000/optimizer.bin
457 MB
- Xet hash:
- b5b7c542e6a0efec46fc9037e710aa55860e11786ac81a71a7d4cc99c0fd3125
- Size of remote file:
- 457 MB
- SHA256:
- 52198651b09953ee1a7ba29a4fb6a306523d9a674da8c2191b1f669be1edd84b
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