Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusion3Pipeline
diffusers-training
sd3
sd3-diffusers
template:sd-lora
Instructions to use hjvision/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjvision/models-moved with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hjvision/models-moved", dtype=torch.bfloat16, device_map="cuda") prompt = "niul, colorful object, engraved with NiUl" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from hjvision/models-moved: direct link, hf CLI and curl.
- Browser
- Download file 16.2 GB
-
https://huggingface.co/hjvision/models-moved/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://hjvision/models-moved/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/hjvision/models-moved/resolve/main/checkpoint-500/optimizer.bin
16.2 GB
- Xet hash:
- 62b52c09573bc1466914b4ff667fd8bbba49f5c89a561e38dd772c4a39c4ae98
- Size of remote file:
- 16.2 GB
- SHA256:
- afe3907cba9a466d93701c9802ace10d78850c3559e1f9401b6fa9e9ae10bb92
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