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:
- 4dd07767578005584bf654914ed103e0488749bb15c6c986b5a98ced16cc5ee8
- Size of remote file:
- 1.36 MB
- SHA256:
- feb02e1c5fc7a77a5b70ba56a69555d1152fb11f1ded35cb2e2ffe0f496fb5ac
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