Instructions to use dataautogpt3/TempestV0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/TempestV0.1 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/TempestV0.1", dtype=torch.bfloat16, device_map="cuda") prompt = "Food photography style photo RAW,piece of fried grilled meat, splashes of ketchup and mustard sauce, (rosemary), spices, exceptional shallow depth-of-field capabilities, atmospheric haze blur,vivid colors,high quality textures of materials, volumetric textures, coating textures, metal textures . Appetizing, professional, culinary, high-resolution, commercial, highly detailed" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dbc5375fa21781f91cd03ded389fa52829bba8d7e68663fb313c40db769d3a2c
- Size of remote file:
- 492 MB
- SHA256:
- f635e8aba08cc1077a7377b8a4c1592da6ba11cf73ce973b372b6a8f554ba0c6
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