Configuration Parsing
Warning:
In UNKNOWN_FILENAME: "diffusers._class_name" must be a string
from diffusers import DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-sdxl-custom-all", trust_remote_code=True)
assert pipeline.config.unet == ('diffusers_modules.local.my_unet_model', 'MyUNetModel')
assert pipeline.config.scheduler == ('diffusers_modules.local.my_scheduler', 'MyScheduler')
assert pipeline.__class__.__name__ == "MyPipeline"
pipeline = pipeline.to(torch_device)
images = pipeline("test", num_inference_steps=2, output_type="np")[0]
assert images.shape == (1, 64, 64, 3)
- Downloads last month
- 1,121
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.