Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use ssdv8/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ssdv8/output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("ssdv8/output") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2500/optimizer.bin from ssdv8/output: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/ssdv8/output/resolve/main/checkpoint-2500/optimizer.bin
- Command line
-
hf download hf://ssdv8/output/checkpoint-2500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ssdv8/output/resolve/main/checkpoint-2500/optimizer.bin
304 MB
- Xet hash:
- 9113ffae2b95e455bb7d81e0ca5b727c4f311aa057a0d55f2bc2f57750fe9a97
- Size of remote file:
- 304 MB
- SHA256:
- 98be837f0dee78ded903aeeb18025782ab801a7fb6b81f5d3039f54a0b08b76c
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