Instructions to use PrunaAI/Pruna-Q-Image-2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PrunaAI/Pruna-Q-Image-2.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-2.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("PrunaAI/Pruna-Q-Image-2.1") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
2 days ago
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fix/update-repo (#8)
- update README and assets (98a03292f655355c9e6ede1527046aab9605f4b2) - update safetensors name (f6a031935768722725a355159b1f13667e296c55) - update banner image (55b9a255b8230673b9015f2eb64abc4e5faee2e2)a14dab4
8 days ago
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Update README.md
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28 days ago
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Update README.md
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Update README.md
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Enable KV cache and inline inference settings in examples
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Add H100 latency chart and prompt, editing and resolution guidance
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Update README.md
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Update README.md (#1)
- Update README.md (78fab1f014c3e8bacdd725c64e750a865085fcfb) - Fix cloning issue (335918a3839cf5c1a8be2f14f7118f33cc8b1441) - Update the quickstart (223f42313e136768a444749024b74baacc217fa4)08d26bb
29 days ago
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Update README.md
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Add five-step PCM/CDM checkpoint 1000 and restore model card
Verified signatureStudent adapter from qwen21-pcm8-cdm-original-targets-20260923, S3 checkpoint 0001000. Restore supplied README with five-step crossover sigma corrected to 0.94. Preserve both eight-step adapters.7bc651e -
Replace adapters with eight-step v0.1 release
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Correct BF16 timestep embedding in Diffusers example
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Pin tested Diffusers revision for exact sampler
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Use float32 Euler updates for exact five-step sampling
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Add Qwen Image 2.1 five-step LoRA adapter
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