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-11700/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-11700/scheduler.bin
- Command line
-
hf download hf://hiddenbox/poodle_dream2/checkpoint-11700/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/hiddenbox/poodle_dream2/resolve/main/checkpoint-11700/scheduler.bin
559 Bytes
- Xet hash:
- 490e13e3ca8ca6443e3dc8294ec4b00bfc68b007bc93124695a3c45ba743e960
- Size of remote file:
- 559 Bytes
- SHA256:
- 7e0a498f3242dacdc143a2a3ed30e6e85678b9805781abe49903cb07d574c046
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