Text-to-Image
Diffusers
Safetensors
Diffusion Single File
English
FluxControlPipeline
image-generation
flux
Instructions to use srcphag/Flux1-Depth-Dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use srcphag/Flux1-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("srcphag/Flux1-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 srcphag/Flux1-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
- Xet hash:
- d44d15f25bc03a2d655d5b3e9f6a489db2dcf9f1fde0f0d2fbe14eb4e2634f94
- Size of remote file:
- 23.8 GB
- SHA256:
- 60411ac95079c2b3b037697bf55ab1d6c0bf82cd16bb4aae864bc5b8269229ec
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.