Instructions to use Angel-cell/ProGraph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Angel-cell/ProGraph with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Angel-cell/ProGraph", 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
File size: 1,689 Bytes
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"framework": "pytorch",
"task": "text-to-image-synthesis",
"pipeline": {
"type": "diffusers-stable-diffusion"
},
"model": {
"type": "stable-diffusion",
"pretrained_model_name_or_path": "runwayml/stable-diffusion-v1-5",
"lora_tune": true,
"dreambooth_tune": false
},
"preprocessor": {
"type": "diffusion-image-generation-preprocessor",
"resolution": 512,
"mean": [0.5],
"std": [0.5]
},
"train": {
"dataloader": {
"batch_size_per_gpu": 1,
"workers_per_gpu": 4,
"shuffle": true
},
"optimizer": {
"type": "AdamW",
"lr": 0.00005,
"weight_decay": 0.01
},
"lr_scheduler": {
"type": "LambdaLR"
},
"max_epochs": 100,
"lr_scheduler_hook": {
"type": "LrSchedulerHook",
"by_epoch": false
},
"optimizer_hook": {
"type": "OptimizerHook"
},
"hooks": [
{
"type": "CheckpointHook",
"interval": 1000
},
{
"type": "TextLoggerHook",
"interval": 1,
"by_epoch": false
},
{
"type": "IterTimerHook"
},
{
"type": "EvaluationHook",
"interval": 1000
}
]
},
"evaluation": {
"dataloader": {
"batch_size_per_gpu": 1,
"workers_per_gpu": 4,
"shuffle": false
},
"metrics": ["loss-metric"]
}
} |