Instructions to use dungzngx/stable-diffusion-v1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dungzngx/stable-diffusion-v1-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dungzngx/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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stable-diffusion
Nguyễn Dũngnew file: configuration.json new file: feature_extractor/preprocessor_config.json new file: model_index.json new file: safety_checker/config.json new file: safety_checker/model.safetensors new file: safety_checker/pytorch_model.bin new file: scheduler/scheduler_config.json new file: text_encoder/config.json new file: text_encoder/model.safetensors new file: text_encoder/pytorch_model.bin new file: tokenizer/merges.txt new file: tokenizer/special_tokens_map.json new file: tokenizer/tokenizer_config.json new file: tokenizer/vocab.json new file: unet/config.json new file: unet/diffusion_pytorch_model.bin new file: unet/diffusion_pytorch_model.safetensors new file: v1-5-pruned-emaonly.ckpt new file: v1-5-pruned-emaonly.safetensors new file: v1-5-pruned.ckpt new file: v1-5-pruned.safetensors new file: v1-inference.yaml new file: vae/config.json new file: vae/diffusion_pytorch_model.bin new file: vae/diffusion_pytorch_…6c898df