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", dtype=torch.bfloat16, device_map="cuda") prompt = "Seed:595570113703157 2steps" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 4dec8b298f110e765c36a0e02e02c9ae05542d57801c0e7fbbbdb99e4f3d5156
- Size of remote file:
- 1.23 MB
- SHA256:
- 7396105d2472d3ea440902e535eb04c2c395cfa97ac046d8144e74955d7873f5
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