Instructions to use cucucu666/sd3_hard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cucucu666/sd3_hard with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cucucu666/sd3_hard") prompt = "haedShadow, object, hard shadow on the bottom, pure white background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from cucucu666/sd3_hard: direct link, hf CLI and curl.
- Browser
- Download file 19.1 MB
-
https://huggingface.co/cucucu666/sd3_hard/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://cucucu666/sd3_hard/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/cucucu666/sd3_hard/resolve/main/checkpoint-2000/optimizer.bin
19.1 MB
- Xet hash:
- 2d30394896e5e761d90845834d1126cd3101a1287fb8e2ef08b91e6a7f267712
- Size of remote file:
- 19.1 MB
- SHA256:
- 50ebff3d67e256a82f36b2b24e0f2e60db2cc6efa70d69902334bf3cac498478
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