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
- Draw Things
- DiffusionBee
Excellent model ๐
#6 opened about 2 years ago
by
poluramus
loving this model!
๐ 1
3
#4 opened about 2 years ago
by
halimmok
Independent showcase
โค๏ธ 3
#3 opened about 2 years ago
by
bergmichaela404
Are there (will there be) more aspect ratios / dimensions?
๐ค 2
1
#2 opened about 2 years ago
by
Norby
Color loss on upscale with Base checkpoint
#1 opened about 2 years ago
by
jeffcookio