Instructions to use layerdifforg/seethroughv0.0.1_marigold with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use layerdifforg/seethroughv0.0.1_marigold with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("layerdifforg/seethroughv0.0.1_marigold", 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
Commit History
23 days ago
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Add Stable Diffusion 2 licence as the source of the use restrictions
Verified signatureThe Open RAIL++-M text published for Marigold leaves its Attachment A as a template placeholder. Marigold is fine-tuned from Stable Diffusion 2, whose CreativeML Open RAIL++-M licence requires derivatives to carry its use restrictions, so LICENSE now includes that licence (Part C) and points the use-restriction clause to its Attachment A. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>4f4ffc4 -
Add licence terms, NOTICE and base model metadata
Verified signatureWeights: Apache-2.0 for See-through contributions, plus the inherited base model licences. See LICENSE and NOTICE. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>454285a