Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
sd3
sd3-diffusers
template:sd-lora
Instructions to use ZhangxinruBIT/trained-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZhangxinruBIT/trained-sd3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ZhangxinruBIT/trained-sd3", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of sks dog in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.safetensors from ZhangxinruBIT/trained-sd3: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/ZhangxinruBIT/trained-sd3/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://ZhangxinruBIT/trained-sd3/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/ZhangxinruBIT/trained-sd3/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- 8f98d3b18a9d5ca1b363c41211d708ee972766200d560d657991bc3cff92af0b
- Size of remote file:
- 335 MB
- SHA256:
- 61a7dab491193da4dc5741fad9cb6ec961f57a105686f8a618fab9faafe7a958
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