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-1100/optimizer.bin from hiddenbox/poodle_dream2: direct link, hf CLI and curl.
- Browser
- Download file 6.53 MB
-
https://huggingface.co/hiddenbox/poodle_dream2/resolve/main/checkpoint-1100/optimizer.bin
- Command line
-
hf download hf://hiddenbox/poodle_dream2/checkpoint-1100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/hiddenbox/poodle_dream2/resolve/main/checkpoint-1100/optimizer.bin
6.53 MB
- Xet hash:
- df591024a285b0c24728bf1faccbe66267fd7b458721fca600fd3026a2b382b5
- Size of remote file:
- 6.53 MB
- SHA256:
- 53740d113d1e9ba70824dfcb28e4ae0cad482113c6e44e91daaf1084872152a0
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