Instructions to use Gencarmo/FLUX.1-schnell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gencarmo/FLUX.1-schnell with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Gencarmo/FLUX.1-schnell", 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
step 2: perturb all weights (x0.9 + N(0,0.02)), structure unchanged
Browse files- ae.safetensors +2 -2
- flux1-schnell.safetensors +2 -2
- text_encoder/model.safetensors +1 -1
- text_encoder_2/model-00001-of-00002.safetensors +1 -1
- text_encoder_2/model-00002-of-00002.safetensors +1 -1
- transformer/diffusion_pytorch_model-00001-of-00003.safetensors +1 -1
- transformer/diffusion_pytorch_model-00002-of-00003.safetensors +1 -1
- transformer/diffusion_pytorch_model-00003-of-00003.safetensors +1 -1
- vae/diffusion_pytorch_model.safetensors +1 -1
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