Instructions to use deepgenteam/DeepGen-1.0-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deepgenteam/DeepGen-1.0-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("deepgenteam/DeepGen-1.0-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| { | |
| "IMG_START_TOKEN": "<|vision_start|>", | |
| "IMG_END_TOKEN": "<|vision_end|>", | |
| "IMG_CONTEXT_TOKEN": "<|image_pad|>", | |
| "IMG_START_TOKEN_FOR_GENERATION": false, | |
| "SYSTEM": "<|im_start|>system\n{system}<|im_end|>\n", | |
| "INSTRUCTION": "<|im_start|>user\n{input}<|im_end|>\n<|im_start|>assistant\n", | |
| "SUFFIX": "<|im_end|>", | |
| "SUFFIX_AS_EOS": true, | |
| "SEP": "\n", | |
| "STOP_WORDS": [ | |
| "<|im_end|>", | |
| "<|endoftext|>" | |
| ], | |
| "GENERATION": "Generate an image: {input}", | |
| "CFG": "Generate an image." | |
| } |