Instructions to use Falah/stable_diffusion_prompts_gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Falah/stable_diffusion_prompts_gen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Falah/stable_diffusion_prompts_gen", dtype=torch.bfloat16, device_map="cuda") prompt = "Hi, what can you help me with?" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Falah/stable_diffusion_prompts_gen: direct link, hf CLI and curl.
- Browser
- Download file 996 MB
-
https://huggingface.co/Falah/stable_diffusion_prompts_gen/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://Falah/stable_diffusion_prompts_gen@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Falah/stable_diffusion_prompts_gen/resolve/refs%2Fpr%2F1/optimizer.pt
996 MB
- Xet hash:
- 129b21387540871427b9de39c3fdfa97b31f6b8c1ff7ad926c7b523b4d845c73
- Size of remote file:
- 996 MB
- SHA256:
- 8ddae377236a550bcd515d86b1f66e89edd80625045039104de02c73c2cb49da
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