Text-to-Image
Diffusers
Safetensors
English
FluxPipeline
FluxPipeline
FLUXv1-schnell
image-generation
flux-diffusers
art
realism
photography
illustration
anime
full finetune
trained
finetune
trainable
full-finetune
checkpoint
text2image
Schnell
Flux
humblemikey
PixelWave
Pixelwave Flux
PixelwaveFluxSchnell
PixelWave Flux Schnell v1
Instructions to use AlekseyCalvin/PixelwaveFluxSchnell_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/PixelwaveFluxSchnell_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlekseyCalvin/PixelwaveFluxSchnell_Diffusers", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Seed:595570113703157 2steps" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- af6b4f4fe06d4a2dde74068f8d4d6053f77434dda754acb3bf0f01e105da393d
- Size of remote file:
- 1.92 MB
- SHA256:
- 9122692d27f5f8852aef81f84323999433e01e646a119fe7fbf724a941d122f9
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