Instructions to use Lucetepolis/OctaFuzz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lucetepolis/OctaFuzz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lucetepolis/OctaFuzz", 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
- Draw Things
- DiffusionBee
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README.md
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@@ -57,15 +57,22 @@ Weight values = 0.045454, 0.044635, 0.071192, 0.078145, 0.074833, 0.072486, 0.06
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# Converted weights
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# Samples
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All of the images use following negatives/settings. EXIF preserved.
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```
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Negative prompt: (worst quality, low quality:1.4), EasyNegative, bad anatomy, bad hands, error, missing fingers, extra digit, fewer digits
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Steps: 20, Sampler: DPM++ SDE Karras, CFG scale: 7, Seed: 1853114200, Size: 768x512, Model hash: 364bdf849d, Denoising strength: 0.6, Clip skip: 2, ENSD: 31337, Hires upscale: 2, Hires upscaler: Latent (nearest-exact)
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