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-1250/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-1250/optimizer.bin
- Command line
-
hf download hf://Andy9310/saved_model/checkpoint-1250/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Andy9310/saved_model/resolve/main/checkpoint-1250/optimizer.bin
457 MB
- Xet hash:
- 47fb6a07a63d8b2a6fea38f4bdebdfe43f3cf782ec01c217ec59be8892f9ea3f
- Size of remote file:
- 457 MB
- SHA256:
- 8992112776a1c64b4f751fc7d30fc5645e38597ae9fdbbae7e7077880fededf2
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