Instructions to use hiddenbox/pore_dream5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hiddenbox/pore_dream5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V5.1_noVAE", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hiddenbox/pore_dream5") prompt = "a photo of a1sfv dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-11800/optimizer.bin from hiddenbox/pore_dream5: direct link, hf CLI and curl.
- Browser
- Download file 6.53 MB
-
https://huggingface.co/hiddenbox/pore_dream5/resolve/main/checkpoint-11800/optimizer.bin
- Command line
-
hf download hf://hiddenbox/pore_dream5/checkpoint-11800/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/hiddenbox/pore_dream5/resolve/main/checkpoint-11800/optimizer.bin
6.53 MB
- Xet hash:
- b13b2139801ee4d07f6ca0ad4f359f9287424226a7e62869bf01eb7a0552ca96
- Size of remote file:
- 6.53 MB
- SHA256:
- 17dd98c5cbf88f272d0f744b7fbf5e47620460ea85176aab4656c20357c08cc9
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