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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4479aac938c224dbaef8d126dc178a0650d09140dcc46885be6d7c72bb6f176f
- Size of remote file:
- 168 MB
- SHA256:
- f5b59a26851551b67ae1fe58d32e76486e1e812def4696a4bea97f16604d40a3
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