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-1200/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-1200/random_states_0.pkl
- Command line
-
hf download hf://hiddenbox/poodle_dream2/checkpoint-1200/random_states_0.pkl
-
curl -L -o random_states_0.pkl https://huggingface.co/hiddenbox/poodle_dream2/resolve/main/checkpoint-1200/random_states_0.pkl
14.5 kB
- Xet hash:
- f1515fede79e7eba1922e72201086c85b760db743ab29b6f7fb7010b3fdc391c
- Size of remote file:
- 14.5 kB
- SHA256:
- 749abfdd0d91c920cc7aa496c79b22b3d69e7de903e948c96ca87b6a9618ca2c
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