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-10700/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-10700/scheduler.bin
- Command line
-
hf download hf://hiddenbox/poodle_dream2/checkpoint-10700/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/hiddenbox/poodle_dream2/resolve/main/checkpoint-10700/scheduler.bin
559 Bytes
- Xet hash:
- ab189ecdfb551fd30140a4b12b6c14395ff46033eb4d59b380308a2368143e53
- Size of remote file:
- 559 Bytes
- SHA256:
- 556bcdbf51c19dd7bc3a314c719e4629c4c6e94abbf4ed6f5f41967f6cbf61bc
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