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
Download checkpoint-500/optimizer.bin from feiyangyang/trained-sd3: direct link, hf CLI and curl.
- Browser
- Download file 16.2 GB
-
https://huggingface.co/feiyangyang/trained-sd3/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://feiyangyang/trained-sd3/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/feiyangyang/trained-sd3/resolve/main/checkpoint-500/optimizer.bin
16.2 GB
- Xet hash:
- f59a7758f60e21b91e1dfea070f7c72f739677c04a1220156bb5f8713e085e9f
- Size of remote file:
- 16.2 GB
- SHA256:
- 426874d4921b1f0cf3a2943296ca8a2b5187f0a786bde88d0fcb17c9c5b8faf0
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