Instructions to use Toooajk/Cornflower_v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Toooajk/Cornflower_v7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Toooajk/Cornflower_v7", 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 Settings
- Draw Things
- DiffusionBee
Cornflower is a comprehensive painting model based on StableDiffusion, trained with specific styles of illustration and merged with multiple models, which is theoretically somewhat different from real-life human painters.
Since the Cornflower model contains multiple files, you need to place all the files in the appropriate locations.
How to install?
'cornflower_v7.safetensors' and vae file are placed in the Stable Diffusion model directory.
The .pt files in 'embeddings' folder are placed in the embeddings directory.
'cornflower_v7_phantom.pt' in hypernetwork folder is placed in the Hypernetworks model directory.
How to use?
After the installation is complete, open webui and switch checkpoint to 'cornflower_v7.safetensors', Hypernetwork to 'cornflower_v7_phantom'.
The following parameters are recommended, and the sampler recommends DPM2 a Karras.
Steps: 20, Sampler: DPM2 a Karras, CFG scale: 7, Size: 640x960, Clip skip: 2, ENSD: 31337
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