Instructions to use DeepFloyd/IF-I-XL-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DeepFloyd/IF-I-XL-v1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DeepFloyd/IF-I-XL-v1.0", 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
Variation in FID Score from the score given on DeepFloyd/IF-I-XL-v1.0 model card page
#34
by prachiola - opened
what configuration (number of inference steps , guidance scale etc .) for model they have used while calculating FID Score for DeepFloyd/IF-I-XL-v1.0 model as they have given fid score as 6.66 for 30k images , mine is differing to much
I would love to know it as well