Text-to-Image
Diffusers
Safetensors
Diffusion Single File
English
FluxControlPipeline
image-generation
flux
Instructions to use HelloTestUser/FLUX.1-Depth-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HelloTestUser/FLUX.1-Depth-dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HelloTestUser/FLUX.1-Depth-dev", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Diffusion Single File
How to use HelloTestUser/FLUX.1-Depth-dev with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Add Diffusers weights (#1)
Verified signature- Add Diffusers weights (bbb896ca67fb2ec8bfdfd1fbc7f1604bf98a47e1) - Update README.md (6b0d99f6b4e9ce85dc146f0d19ad693bfca62d40) - Update README.md (abebe841b836966b549d54b6c7e161735f83448b) Co-authored-by: Aryan V S <a-r-r-o-w@users.noreply.huggingface.co>6120157