Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
sd3
sd3-diffusers
template:sd-lora
Instructions to use feiyangyang/trained-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use feiyangyang/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("feiyangyang/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

- Xet hash:
- 22402f9968b9e03b69a448e14477eac1cdfaf52d0903f02a50bca18ae83c30c7
- Size of remote file:
- 1.85 MB
- SHA256:
- 4f4da3d7647902dda1b1263ef2ffe0e5895c5fb39f527016bf83d8f360e90a55
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