Instructions to use wangkanai/flux-dev-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangkanai/flux-dev-fp8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wangkanai/flux-dev-fp8", 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
Download ipadapter-flux/ip-adapter.bin from wangkanai/flux-dev-fp8: direct link, hf CLI and curl.
- Browser
- Download file 5.29 GB
-
https://huggingface.co/wangkanai/flux-dev-fp8/resolve/main/ipadapter-flux/ip-adapter.bin
- Command line
-
hf download hf://wangkanai/flux-dev-fp8/ipadapter-flux/ip-adapter.bin
-
curl -L -o ip-adapter.bin https://huggingface.co/wangkanai/flux-dev-fp8/resolve/main/ipadapter-flux/ip-adapter.bin
5.29 GB
- Xet hash:
- f171b81b62683a69f1f1b60b9960348efa46d2a0af239238cdfed5243ea787f4
- Size of remote file:
- 5.29 GB
- SHA256:
- 01aaeb0dace9ea4feee1007d30e41c59847041c116db8c2bcc14f9c91d491203
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