Instructions to use dataautogpt3/PrometheusV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/PrometheusV1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dataautogpt3/PrometheusV1", dtype=torch.bfloat16, device_map="cuda") prompt = "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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# Recommended Settings
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Clip Skip: 2
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CFG Scale: 7
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Steps: 25 - 50
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Sampler: DPM++ 2M SDE
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Scheduler: Karras
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Resolution: 1024x1024
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# Use it with 🧨 diffusers
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# Recommended Settings
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Clip Skip: 2
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CFG Scale: 7
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Steps: 25 - 50
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Sampler: DPM++ 2M SDE
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Scheduler: Karras
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Resolution: 1024x1024
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# Use it with 🧨 diffusers
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