Instructions to use HelloTestUser/FLUX.1-Fill-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HelloTestUser/FLUX.1-Fill-dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import FluxFillPipeline from diffusers.utils import load_image image = load_image("https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/cup.png") mask = load_image("https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/cup_mask.png") # switch to "mps" for apple devices pipe = FluxFillPipeline.from_pretrained("HelloTestUser/FLUX.1-Fill-dev", dtype=torch.bfloat16, device_map="cuda") image = pipe( prompt="a white paper cup", image=image, mask_image=mask, height=1632, width=1232, guidance_scale=30, num_inference_steps=50, max_sequence_length=512, generator=torch.Generator("cpu").manual_seed(0) ).images[0] image.save(f"flux-fill-dev.png") - Diffusion Single File
How to use HelloTestUser/FLUX.1-Fill-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
Download flux1-fill-dev.safetensors from HelloTestUser/FLUX.1-Fill-dev: direct link, hf CLI and curl.
- Browser
- Download file 23.8 GB
-
https://huggingface.co/HelloTestUser/FLUX.1-Fill-dev/resolve/main/flux1-fill-dev.safetensors
- Command line
-
hf download hf://HelloTestUser/FLUX.1-Fill-dev/flux1-fill-dev.safetensors
-
curl -L -o flux1-fill-dev.safetensors https://huggingface.co/HelloTestUser/FLUX.1-Fill-dev/resolve/main/flux1-fill-dev.safetensors
23.8 GB
- Xet hash:
- a8bb39fe506b7da389673d687d3638c726a035416db3a52894027bb807a3b06f
- Size of remote file:
- 23.8 GB
- SHA256:
- 03e289f530df51d014f48e675a9ffa2141bc003259bf5f25d75b957e920a41ca
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