Instructions to use insagur/n53e29d713853 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use insagur/n53e29d713853 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("insagur/n53e29d713853", torch_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
Ctrl+K
- qwen-cua__runs__ip2p_androidcontrol__checkpoint-3500
- qwen-cua__runs__ocu_ex_base_exact_all_12k_clean__v0-20260610-224702__checkpoint-800__evalweights
- qwen-cua__runs__ocu_ex_base_exact_all_12k_nopack__v0-20260612-174123__checkpoint-4336__evalweights
- qwen-cua__runs__probe2000_control__v3-20260622-100722__checkpoint-2000__evalweights
- qwen-cua__runs__qwen35_4b_planA_baseline_2ep-20260602-153612__v0-20260602-153717__checkpoint-300__evalweights
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- 1.19 kB
- 20 MB xet
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