Instructions to use RaiffsBits/deep_thought with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RaiffsBits/deep_thought with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0,black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("RaiffsBits/deep_thought") prompt = "Make and ai story" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: Make and ai story
parameters:
negative_prompt: dont use real faces
output:
url: images/an AI being reborn in a cyberpunk future setting (1).png
base_model:
- stabilityai/stable-diffusion-xl-base-1.0
- black-forest-labs/FLUX.1-dev
instance_prompt: null
license: ms-pl
datasets:
- O1-OPEN/OpenO1-SFT
- NovaSky-AI/Sky-T1_data_17k
- DAMO-NLP-SG/multimodal_textbook
language:
- en
metrics:
- character
- accuracy
- bertscore
- bleu
- bleurt
- brier_score
pipeline_tag: text-to-image
Triton
.png)
- Prompt
- Make and ai story
- Negative Prompt
- dont use real faces
Model description
A triton model
Download model
Download them in the Files & versions tab.