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-1300/random_states_0.pkl from hiddenbox/poodle_dream2: direct link, hf CLI and curl.
- Browser
- Download file 14.5 kB
-
https://huggingface.co/hiddenbox/poodle_dream2/resolve/main/checkpoint-1300/random_states_0.pkl
- Command line
-
hf download hf://hiddenbox/poodle_dream2/checkpoint-1300/random_states_0.pkl
-
curl -L -o random_states_0.pkl https://huggingface.co/hiddenbox/poodle_dream2/resolve/main/checkpoint-1300/random_states_0.pkl
14.5 kB
- Xet hash:
- bc69050064158d2d83597ce3aed05c3219985e78871e8b4eed0ad47df22b8d7e
- Size of remote file:
- 14.5 kB
- SHA256:
- 9559c527060adecf351e75daa9d948b16c4181e3561d12beaee7f061b6ae3037
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