Instructions to use hiddenbox/poodle_dream2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hiddenbox/poodle_dream2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hiddenbox/poodle_dream2") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-12100/scheduler.bin from hiddenbox/poodle_dream2: direct link, hf CLI and curl.
- Browser
- Download file 559 Bytes
-
https://huggingface.co/hiddenbox/poodle_dream2/resolve/main/checkpoint-12100/scheduler.bin
- Command line
-
hf download hf://hiddenbox/poodle_dream2/checkpoint-12100/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/hiddenbox/poodle_dream2/resolve/main/checkpoint-12100/scheduler.bin
559 Bytes
- Xet hash:
- eeae6c7d63a0a2f7fdae2b62a8421c361b9c7fc6881d41351dd87117d03bd83c
- Size of remote file:
- 559 Bytes
- SHA256:
- b39795f29e9f118ac65b526c8d935a08b121f5f65ab19c1cedfa146fdb57f67c
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