Instructions to use insagur/n5fe63911bb03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use insagur/n5fe63911bb03 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/n5fe63911bb03", 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_cu_raw__checkpoint-6000
- qwen-cua__runs__opencua_exact_wm_joint_v7_siglip2_delta_parallel_prethought__v0-20260617-133900__checkpoint-1100__evalweights
- qwen-cua__runs__plain_l2__v1-20260622-231553__checkpoint-2000__evalweights
- qwen-cua__runs__qwen35_4b_full_mixed_32k_fa2_production-20260529-093307__v0-20260529-093351__checkpoint-494__evalweights
- qwen-cua__runs__qwen35_4b_opencua_exact_baseline_12k-20260609-203845__v1-20260610-020233__checkpoint-1384__evalweights
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- 3.69 GB xet
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