Instructions to use gianrp6/pendynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gianrp6/pendynamic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("gianrp6/pendynamic") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images/image.webp from gianrp6/pendynamic: direct link, hf CLI and curl.
- Browser
- Download file 14.4 kB
-
https://huggingface.co/gianrp6/pendynamic/resolve/main/images/image.webp
- Command line
-
hf download hf://gianrp6/pendynamic/images/image.webp
-
curl -L -o image.webp https://huggingface.co/gianrp6/pendynamic/resolve/main/images/image.webp
14.4 kB

- Xet hash:
- 9d7c6c0a311fb017f7349749130c4e44cad097b757bd50f7b4d811917111f23b
- Size of remote file:
- 14.4 kB
- SHA256:
- 4eb0cc0375fdb7c33539946812e1ce414192f8b710ca925683ebdc27dadd6edb
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