Instructions to use John6666/blue-pencil-flux1-v001-fp8-flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use John6666/blue-pencil-flux1-v001-fp8-flux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/blue-pencil-flux1-v001-fp8-flux", 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
File size: 751 Bytes
ab63375 d3629e9 ab63375 d3629e9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ---
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- text-to-image
- Flux
- fp8
- float8_e4m3fn
- anime
base_model: bluepen5805/blue_pencil-flux1
---
Original model is [here](https://huggingface.co/bluepen5805).
## Notice
This is an experimental conversion in Spaces using a homebrew script. serverless Inference API does not currently support torch float8_e4m3fn, so it does not work.
There are still many bugs around the FLUX.1 conversion part of Diffusers, and I have not been able to confirm if the conversion is working properly.
Please consider this as a test run only. |