Instructions to use DanielMarius/dms-infiniteyou-sim-stage1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DanielMarius/dms-infiniteyou-sim-stage1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DanielMarius/dms-infiniteyou-sim-stage1", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
InfiniteYou InfuseNet sim_stage1 (local shard)
A locally held InfuseNet sim_stage1 checkpoint shard from the DMS model archive. The local folder contains only the files listed below; verify upstream shard completeness before loading as a complete model.
Files and local identity
InfuseNetModel/config.jsonโ 455 bytes; SHA-256943db8b6649302e9ab998225e448d998d7f8c240b0f44e510f0398aea13ed066InfuseNetModel/diffusion_pytorch_model-00001-of-00002.safetensorsโ 9982278752 bytes; SHA-2564fc9485b2d64aa1507b6159ceb9610fc63ca34f4951abb4ac57e72bf6747f1ebInfuseNetModel/diffusion_pytorch_model-00002-of-00002.safetensorsโ 1964235168 bytes; SHA-256c4ef23eed33145ef2ac3fc883d4ee0c49ae6628cb775da36997e027af02d0d63InfuseNetModel/diffusion_pytorch_model.safetensors.index.jsonโ 32370 bytes; SHA-25603d8a0782926784dd06d5d43489ca41e12e5f56e4b39868d77f04fb518943ecc
Upstream copies and provenance
- Related upstream: ByteDance/InfiniteYou.
- Exact byte match for
InfuseNetModel/config.json: ByteDance/InfiniteYou/infu_flux_v1.0/aes_stage2/InfuseNetModel/config.json; SHA-256943db8b6649302e9ab998225e448d998d7f8c240b0f44e510f0398aea13ed066. - Exact byte match for
InfuseNetModel/config.json: ByteDance/InfiniteYou/infu_flux_v1.0/sim_stage1/InfuseNetModel/config.json; SHA-256943db8b6649302e9ab998225e448d998d7f8c240b0f44e510f0398aea13ed066. - Exact byte match for
InfuseNetModel/diffusion_pytorch_model-00002-of-00002.safetensors: ByteDance/InfiniteYou/infu_flux_v1.0/sim_stage1/InfuseNetModel/diffusion_pytorch_model-00002-of-00002.safetensors; SHA-256c4ef23eed33145ef2ac3fc883d4ee0c49ae6628cb775da36997e027af02d0d63. - Exact byte match for
InfuseNetModel/diffusion_pytorch_model.safetensors.index.json: ByteDance/InfiniteYou/infu_flux_v1.0/aes_stage2/InfuseNetModel/diffusion_pytorch_model.safetensors.index.json; SHA-25603d8a0782926784dd06d5d43489ca41e12e5f56e4b39868d77f04fb518943ecc. - Exact byte match for
InfuseNetModel/diffusion_pytorch_model.safetensors.index.json: ByteDance/InfiniteYou/infu_flux_v1.0/sim_stage1/InfuseNetModel/diffusion_pytorch_model.safetensors.index.json; SHA-25603d8a0782926784dd06d5d43489ca41e12e5f56e4b39868d77f04fb518943ecc. - No byte-identical copy for the remaining large local model files was found in the checked upstream trees: ByteDance/InfiniteYou. These links are related sources, not proof of identical bytes.
License and use
License metadata follows the identified upstream license cc-by-nc-4.0. Upstream terms and attribution requirements apply; this repository does not claim ownership of upstream model weights.
Provenance audit
Generated from local DMS model assets. Audit run: dms-model-assets-publish-20261022T0750Z-v7. SHA-256 values identify the local source bytes.
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