Instructions to use future-technologies/Floral-High-Dynamic-Range with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use future-technologies/Floral-High-Dynamic-Range with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("future-technologies/Floral-High-Dynamic-Range", 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
-
Upload diffusion_pytorch_model.bin
Verified signaturedac6373 -
Rename vae/diffusion_pytorch_model.bin.safetensors to vae/diffusion_pytorch_model.safetensors
Verified signature7f3fac9 -
Rename vae/diffusion_pytorch_model.bin to vae/diffusion_pytorch_model.bin.safetensors
Verified signaturece2c9dc -
Rename vae/diffusion_pytorch_model.safetensors to vae/diffusion_pytorch_model.bin
Verified signature18a5154
-
Upload diffusion_pytorch_model.safetensors
Verified signature0700d92 -
Create vae/config.json
Verified signaturef074770