Text-to-Image
Diffusers
Safetensors
llama
dfloat11
df11
lossless compression
70% size, 100% accuracy
Instructions to use DFloat11/FLUX.1-schnell-DF11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DFloat11/FLUX.1-schnell-DF11 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DFloat11/FLUX.1-schnell-DF11", 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
- Xet hash:
- df6a7130e145c25164e42662d96faa866ee1bad8b5505c76cc9097d37ce0fe4d
- Size of remote file:
- 192 MB
- SHA256:
- a19666cd7ce2275b283ce0499edc53f78733bc146c711b034af1760d6c1d38bd
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