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-1400/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/6962f275f7b9182e5604163a47b798f8a8af3d99/checkpoint-1400/optimizer.bin
- Command line
-
hf download hf://hiddenbox/pore_dream5@6962f275f7b9182e5604163a47b798f8a8af3d99/checkpoint-1400/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/hiddenbox/pore_dream5/resolve/6962f275f7b9182e5604163a47b798f8a8af3d99/checkpoint-1400/optimizer.bin
6.53 MB
- Xet hash:
- 5629602a1867d42d692a294dd9e3055fbf047d1e9076f1d567f8aa5acabf474e
- Size of remote file:
- 6.53 MB
- SHA256:
- a6303e341d2f56acd01a3a23d638438c66daa317ffbc93d766cb2fbda68acefd
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