How to use HelloTestUser/FLUX.1-Canny-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-Canny-dev", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0]
How to use HelloTestUser/FLUX.1-Canny-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
https://huggingface.co/HelloTestUser/FLUX.1-Canny-dev/resolve/main/tokenizer_2/tokenizer.json
hf download hf://HelloTestUser/FLUX.1-Canny-dev/tokenizer_2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/HelloTestUser/FLUX.1-Canny-dev/resolve/main/tokenizer_2/tokenizer.json
