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
Upload README.md
Browse files
README.md
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tags:
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- text-to-image
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- Flux
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---
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tags:
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- text-to-image
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- Flux
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- fp8
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- float8_e4m3fn
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- anime
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base_model: bluepen5805/blue_pencil-flux1
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---
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Original model is [here](https://huggingface.co/bluepen5805).
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## Notice
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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.
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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.
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Please consider this as a test run only.
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