Text-to-Image
Diffusers
Safetensors
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StableDiffusionXLPipeline
stable-diffusion-xl
imageflow
Instructions to use BinaryLight1011/Imageflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BinaryLight1011/Imageflow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BinaryLight1011/Imageflow", 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

- Xet hash:
- d18d43dcb6a7f8dc67bf9c94fa73c0190db52ba2d9ca386ca42c1dae6fe06922
- Size of remote file:
- 1.57 MB
- SHA256:
- 50dbe701c172d2b0f4e6e51db2377fdf8d49d95bc5a3cc1f40dec20c55e4b419
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