Text-to-Image
Diffusers
Safetensors
English
FluxPipeline
Flux
fp8
float8_e4m3fn
anime
8steps
Not-For-All-Audiences
Instructions to use John6666/flux-dev8-anime-nsfw-fp8-flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use John6666/flux-dev8-anime-nsfw-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/flux-dev8-anime-nsfw-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
Original model is here.
Usage Notes (Important)
- Add fca_style anime, at the beginning of the prompt
- Reduce photo prompts such as realistic, photo, camera, selfie, etc.
- Set sampling steps to 8.
This model created by Zuntan.
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. I have not been able to confirm if the conversion is working properly. Please consider this as a test run only.
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Model tree for John6666/flux-dev8-anime-nsfw-fp8-flux
Base model
Zuntan/FluxDev8AnimeNsfw