Instructions to use yuvalkirstain/stable-diffusion-2-1-ait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yuvalkirstain/stable-diffusion-2-1-ait with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yuvalkirstain/stable-diffusion-2-1-ait", 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
| CC = nvcc | |
| CFLAGS = | |
| fPIC_flag = -Xcompiler=-fPIC | |
| obj_files = conv2d_bias_1541.obj conv2d_bias_1542.obj groupnorm_swish_1543.obj conv2d_bias_1544.obj conv2d_bias_add_identity_1638.obj groupnorm_1548.obj gemm_rcr_bias_permute_1551.obj split_1553.obj reshape_1554.obj mem_eff_attention_1557.obj gemm_rcr_bias_add_1559.obj fused_elementwise_1652.obj upsampling2d_1583.obj conv2d_bias_1584.obj groupnorm_swish_1585.obj conv2d_bias_add_identity_1643.obj upsampling2d_1600.obj conv2d_bias_1601.obj groupnorm_swish_1602.obj conv2d_bias_1603.obj groupnorm_swish_1604.obj conv2d_bias_1606.obj conv2d_bias_add_identity_1646.obj conv2d_bias_1609.obj upsampling2d_1618.obj conv2d_bias_1619.obj groupnorm_swish_1620.obj conv2d_bias_1621.obj groupnorm_swish_1622.obj conv2d_bias_1624.obj conv2d_bias_add_identity_1649.obj conv2d_bias_1627.obj conv2d_bias_1637.obj constants.obj model_container_base.obj debug_utility.obj model_container.obj model_interface.obj utility.obj | |
| %.obj : %.cu | |
| nvcc -DCUTLASS_ENABLE_TENSOR_CORE_MMA=1 -DCUTLASS_USE_TANH_FOR_SIGMOID=1 -w -gencode=arch=compute_80,code=[sm_80,compute_80] -Xcompiler=-fPIC -Xcompiler=-Wconversion -Xcompiler=-fno-strict-aliasing -Xcompiler -fvisibility=hidden -O3 -std=c++17 --expt-relaxed-constexpr --use_fast_math -I/home/olab/kirstain/anaconda3/envs/ait/lib/python3.10/site-packages/aitemplate/3rdparty/cutlass/include -I/home/olab/kirstain/anaconda3/envs/ait/lib/python3.10/site-packages/aitemplate/3rdparty/cutlass/tools/util/include -I/home/olab/kirstain/anaconda3/envs/ait/lib/python3.10/site-packages/aitemplate/3rdparty/cutlass/examples/35_gemm_softmax -I/home/olab/kirstain/anaconda3/envs/ait/lib/python3.10/site-packages/aitemplate/3rdparty/cutlass/examples/41_fused_multi_head_attention -I/home/olab/kirstain/anaconda3/envs/ait/lib/python3.10/site-packages/aitemplate/3rdparty/cutlass/examples/45_dual_gemm -I/home/olab/kirstain/anaconda3/envs/ait/lib/python3.10/site-packages/aitemplate/3rdparty/cutlass/../../backend/cuda/attention/src/./ -I/home/olab/kirstain/anaconda3/envs/ait/lib/python3.10/site-packages/aitemplate/3rdparty/cutlass/../../backend/cuda/attention/src/fmha -DNDEBUG -c -o $@ $< | |
| %.obj : %.bin | |
| ld -r -b binary -o $@ $< | |
| .PHONY: all clean clean_constants | |
| all: test.so | |
| test.so: $(obj_files) | |
| $(CC) -shared $(fPIC_flag) $(CFLAGS) -o $@ $(obj_files) | |
| clean: | |
| rm -f *.obj test.so | |
| clean_constants: | |
| rm -f constants.bin |