Text-to-Image
Diffusers
Safetensors
llama
dfloat11
df11
lossless compression
70% size, 100% accuracy
Instructions to use DFloat11/FLUX.1-Depth-dev-DF11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DFloat11/FLUX.1-Depth-dev-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-Depth-dev-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:
- e3b3f1a9074e9157734fadc35dd5d9b37ebdb491f79f0742e9fd57f5ace9a5fb
- Size of remote file:
- 129 MB
- SHA256:
- 2b4df65d350d1ab54caf7b4e62e8d81ca2e65d5a292e3548155c83bda5445569
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