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-13700/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-13700/scheduler.bin
- Command line
-
hf download hf://hiddenbox/poodle_dream2/checkpoint-13700/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/hiddenbox/poodle_dream2/resolve/main/checkpoint-13700/scheduler.bin
559 Bytes
- Xet hash:
- 27368889a5614ddb12d4978f92a55ad4b8c2a91d8e08c201fa87ac8cdc47451a
- Size of remote file:
- 559 Bytes
- SHA256:
- be46e29869ab173bec5957c2f80ff5ec6061cf7e7ed0690b7f7f57424499f88d
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