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
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feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed, smokey
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ambiance, perfect hands AND fingers
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output:
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url: assets/
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high quality pixel art, a pixel art silhouette of an anime space-themed girl
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in a space-punk steampunk style, lying in her bed by the window of a
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feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed, smokey
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ambiance, perfect hands AND fingers
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output:
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url: assets/final_output_00980_.png
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- text: >-
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high quality pixel art, a pixel art silhouette of an anime space-themed girl
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in a space-punk steampunk style, lying in her bed by the window of a
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