Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use eliotthrgt/trained-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eliotthrgt/trained-sd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("eliotthrgt/trained-sd", dtype=torch.bfloat16, device_map="cuda") prompt = "glia_mascot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from eliotthrgt/trained-sd: direct link, hf CLI and curl.
- Browser
- Download file 9.65 GB
-
https://huggingface.co/eliotthrgt/trained-sd/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://eliotthrgt/trained-sd/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/eliotthrgt/trained-sd/resolve/main/checkpoint-2000/optimizer.bin
9.65 GB
- Xet hash:
- 0016abdbc7c81ccb16a2840eb7b69dea928c97579f77de0edca1a0bffdaa42b3
- Size of remote file:
- 9.65 GB
- SHA256:
- 956a6c173163285b6bcccd45f55b4ace40ea178ddc7efafa11476b1b2fa256a0
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