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
- Draw Things
- DiffusionBee
- Xet hash:
- 7cb05637e5aa9ef304e29d3f3a471464698112eff42eb86831eb7816586f9295
- Size of remote file:
- 167 MB
- SHA256:
- 5198f78690bf2ddf70b19b106a860a49bec5aa3e5f8626efeff02f0c99c3986c
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