Instructions to use HaileyStorm/FLUX.1-Merges with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HaileyStorm/FLUX.1-Merges with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HaileyStorm/FLUX.1-Merges", 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
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@@ -28,7 +28,7 @@ The goal is to create modeld which balance generation speed - allowing near-Dev
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Based on these results, I saved and uploaded models for the ratios 10:1, 4:1, and 2.5:1.
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I recommend
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| 10:1 | 4-8 |
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Based on these results, I saved and uploaded models for the ratios 10:1, 4:1, and 2.5:1.
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I recommend the following number of generation steps for these models:
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| Model | Steps |
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| 10:1 | 4-8 |
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