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Unverified Commit bac8a241 authored by YiYi Xu's avatar YiYi Xu Committed by GitHub
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a few fix for SingleFile tests (#9522) 

* update sd15 repo

* update more
parent 28f9d845
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Showing with 147 additions and 102 deletions
src/diffusers/loaders/single_file_utils.py
View file @ bac8a241
......@@ -14,6 +14,7 @@
# limitations under the License.
"""Conversion script for the Stable Diffusion checkpoints."""
import copy
import os
import re
from contextlib import nullcontext
......@@ -91,11 +92,11 @@ DIFFUSERS_DEFAULT_PIPELINE_PATHS = {
"xl_inpaint": {"pretrained_model_name_or_path": "diffusers/stable-diffusion-xl-1.0-inpainting-0.1"},
"playground-v2-5": {"pretrained_model_name_or_path": "playgroundai/playground-v2.5-1024px-aesthetic"},
"upscale": {"pretrained_model_name_or_path": "stabilityai/stable-diffusion-x4-upscaler"},
"inpainting": {"pretrained_model_name_or_path": "Lykon/dreamshaper-8-inpainting"},
"inpainting": {"pretrained_model_name_or_path": "stable-diffusion-v1-5/stable-diffusion-inpainting"},
"inpainting_v2": {"pretrained_model_name_or_path": "stabilityai/stable-diffusion-2-inpainting"},
"controlnet": {"pretrained_model_name_or_path": "lllyasviel/control_v11p_sd15_canny"},
"v2": {"pretrained_model_name_or_path": "stabilityai/stable-diffusion-2-1"},
"v1": {"pretrained_model_name_or_path": "Lykon/dreamshaper-8"},
"v1": {"pretrained_model_name_or_path": "stable-diffusion-v1-5/stable-diffusion-v1-5"},
"stable_cascade_stage_b": {"pretrained_model_name_or_path": "stabilityai/stable-cascade", "subfolder": "decoder"},
"stable_cascade_stage_b_lite": {
"pretrained_model_name_or_path": "stabilityai/stable-cascade",
......@@ -541,6 +542,7 @@ def infer_diffusers_model_type(checkpoint):
def fetch_diffusers_config(checkpoint):
model_type = infer_diffusers_model_type(checkpoint)
model_path = DIFFUSERS_DEFAULT_PIPELINE_PATHS[model_type]
model_path = copy.deepcopy(model_path)
return model_path
......
tests/lora/test_lora_layers_sd.py
View file @ bac8a241
......@@ -102,7 +102,7 @@ class StableDiffusionLoRATests(PeftLoraLoaderMixinTests, unittest.TestCase):
@slow
@require_torch_gpu
def test_integration_move_lora_cpu(self):
path = "Jiali/stable-diffusion-1.5"
path = "stable-diffusion-v1-5/stable-diffusion-v1-5"
lora_id = "takuma104/lora-test-text-encoder-lora-target"
pipe = StableDiffusionPipeline.from_pretrained(path, torch_dtype=torch.float16)
......@@ -161,7 +161,7 @@ class StableDiffusionLoRATests(PeftLoraLoaderMixinTests, unittest.TestCase):
def test_integration_move_lora_dora_cpu(self):
from peft import LoraConfig
path = "Jiali/stable-diffusion-1.5"
path = "stable-diffusion-v1-5/stable-diffusion-v1-5"
unet_lora_config = LoraConfig(
init_lora_weights="gaussian",
target_modules=["to_k", "to_q", "to_v", "to_out.0"],
......@@ -221,7 +221,7 @@ class LoraIntegrationTests(unittest.TestCase):
torch.cuda.empty_cache()
def test_integration_logits_with_scale(self):
path = "Jiali/stable-diffusion-1.5"
path = "stable-diffusion-v1-5/stable-diffusion-v1-5"
lora_id = "takuma104/lora-test-text-encoder-lora-target"
pipe = StableDiffusionPipeline.from_pretrained(path, torch_dtype=torch.float32)
......@@ -253,7 +253,7 @@ class LoraIntegrationTests(unittest.TestCase):
release_memory(pipe)
def test_integration_logits_no_scale(self):
path = "Jiali/stable-diffusion-1.5"
path = "stable-diffusion-v1-5/stable-diffusion-v1-5"
lora_id = "takuma104/lora-test-text-encoder-lora-target"
pipe = StableDiffusionPipeline.from_pretrained(path, torch_dtype=torch.float32)
......@@ -284,7 +284,7 @@ class LoraIntegrationTests(unittest.TestCase):
lora_model_id = "hf-internal-testing/lora_dreambooth_dog_example"
base_model_id = "Jiali/stable-diffusion-1.5"
base_model_id = "stable-diffusion-v1-5/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(base_model_id, safety_checker=None)
pipe = pipe.to(torch_device)
......@@ -308,7 +308,7 @@ class LoraIntegrationTests(unittest.TestCase):
lora_model_id = "hf-internal-testing/lora-trained"
base_model_id = "Jiali/stable-diffusion-1.5"
base_model_id = "stable-diffusion-v1-5/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(base_model_id, safety_checker=None)
pipe = pipe.to(torch_device)
......@@ -419,9 +419,9 @@ class LoraIntegrationTests(unittest.TestCase):
def test_kohya_sd_v15_with_higher_dimensions(self):
generator = torch.Generator().manual_seed(0)
pipe = StableDiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5", safety_checker=None).to(
torch_device
)
pipe = StableDiffusionPipeline.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None
).to(torch_device)
lora_model_id = "hf-internal-testing/urushisato-lora"
lora_filename = "urushisato_v15.safetensors"
pipe.load_lora_weights(lora_model_id, weight_name=lora_filename)
......@@ -444,7 +444,7 @@ class LoraIntegrationTests(unittest.TestCase):
lora_model_id = "hf-internal-testing/sd-model-finetuned-lora-t4"
base_model_id = "Jiali/stable-diffusion-1.5"
base_model_id = "stable-diffusion-v1-5/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(base_model_id, safety_checker=None)
pipe = pipe.to(torch_device)
......@@ -467,9 +467,9 @@ class LoraIntegrationTests(unittest.TestCase):
prompt = "masterpiece, best quality, mountain"
num_inference_steps = 2
pipe = StableDiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5", safety_checker=None).to(
torch_device
)
pipe = StableDiffusionPipeline.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None
).to(torch_device)
initial_images = pipe(
prompt, output_type="np", generator=generator, num_inference_steps=num_inference_steps
).images
......@@ -505,9 +505,9 @@ class LoraIntegrationTests(unittest.TestCase):
prompt = "masterpiece, best quality, mountain"
num_inference_steps = 2
pipe = StableDiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5", safety_checker=None).to(
torch_device
)
pipe = StableDiffusionPipeline.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None
).to(torch_device)
initial_images = pipe(
prompt, output_type="np", generator=generator, num_inference_steps=num_inference_steps
).images
......@@ -547,9 +547,9 @@ class LoraIntegrationTests(unittest.TestCase):
def test_not_empty_state_dict(self):
# Makes sure https://github.com/huggingface/diffusers/issues/7054 does not happen again
pipe = AutoPipelineForText2Image.from_pretrained("Jiali/stable-diffusion-1.5", torch_dtype=torch.float16).to(
torch_device
)
pipe = AutoPipelineForText2Image.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.float16
).to(torch_device)
pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
cached_file = hf_hub_download("hf-internal-testing/lcm-lora-test-sd-v1-5", "test_lora.safetensors")
......@@ -561,9 +561,9 @@ class LoraIntegrationTests(unittest.TestCase):
def test_load_unload_load_state_dict(self):
# Makes sure https://github.com/huggingface/diffusers/issues/7054 does not happen again
pipe = AutoPipelineForText2Image.from_pretrained("Jiali/stable-diffusion-1.5", torch_dtype=torch.float16).to(
torch_device
)
pipe = AutoPipelineForText2Image.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.float16
).to(torch_device)
pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
cached_file = hf_hub_download("hf-internal-testing/lcm-lora-test-sd-v1-5", "test_lora.safetensors")
......@@ -580,7 +580,9 @@ class LoraIntegrationTests(unittest.TestCase):
release_memory(pipe)
def test_sdv1_5_lcm_lora(self):
pipe = DiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5", torch_dtype=torch.float16)
pipe = DiffusionPipeline.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.float16
)
pipe.to(torch_device)
pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
......@@ -608,7 +610,9 @@ class LoraIntegrationTests(unittest.TestCase):
release_memory(pipe)
def test_sdv1_5_lcm_lora_img2img(self):
pipe = AutoPipelineForImage2Image.from_pretrained("Jiali/stable-diffusion-1.5", torch_dtype=torch.float16)
pipe = AutoPipelineForImage2Image.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.float16
)
pipe.to(torch_device)
pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
......@@ -649,7 +653,7 @@ class LoraIntegrationTests(unittest.TestCase):
This test simply checks that loading a LoRA with an empty network alpha works fine
See: https://github.com/huggingface/diffusers/issues/5606
"""
pipeline = StableDiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5")
pipeline = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
pipeline.enable_sequential_cpu_offload()
civitai_path = hf_hub_download("ybelkada/test-ahi-civitai", "ahi_lora_weights.safetensors")
pipeline.load_lora_weights(civitai_path, adapter_name="ahri")
......
tests/models/autoencoders/test_models_vae.py
View file @ bac8a241
......@@ -1051,7 +1051,9 @@ class ConsistencyDecoderVAEIntegrationTests(unittest.TestCase):
def test_sd(self):
vae = ConsistencyDecoderVAE.from_pretrained("openai/consistency-decoder") # TODO - update
pipe = StableDiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5", vae=vae, safety_checker=None)
pipe = StableDiffusionPipeline.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", vae=vae, safety_checker=None
)
pipe.to(torch_device)
out = pipe(
......@@ -1099,7 +1101,7 @@ class ConsistencyDecoderVAEIntegrationTests(unittest.TestCase):
"openai/consistency-decoder", torch_dtype=torch.float16
) # TODO - update
pipe = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5",
"stable-diffusion-v1-5/stable-diffusion-v1-5",
torch_dtype=torch.float16,
vae=vae,
safety_checker=None,
......@@ -1124,7 +1126,7 @@ class ConsistencyDecoderVAEIntegrationTests(unittest.TestCase):
def test_vae_tiling(self):
vae = ConsistencyDecoderVAE.from_pretrained("openai/consistency-decoder", torch_dtype=torch.float16)
pipe = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", vae=vae, safety_checker=None, torch_dtype=torch.float16
"stable-diffusion-v1-5/stable-diffusion-v1-5", vae=vae, safety_checker=None, torch_dtype=torch.float16
)
pipe.to(torch_device)
pipe.set_progress_bar_config(disable=None)
......
tests/pipelines/controlnet/test_controlnet.py
View file @ bac8a241
......@@ -73,7 +73,7 @@ def _test_stable_diffusion_compile(in_queue, out_queue, timeout):
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-canny")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.to("cuda")
pipe.set_progress_bar_config(disable=None)
......@@ -715,7 +715,7 @@ class ControlNetPipelineSlowTests(unittest.TestCase):
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-canny")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.enable_model_cpu_offload()
pipe.set_progress_bar_config(disable=None)
......@@ -742,7 +742,7 @@ class ControlNetPipelineSlowTests(unittest.TestCase):
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-depth")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.enable_model_cpu_offload()
pipe.set_progress_bar_config(disable=None)
......@@ -769,7 +769,7 @@ class ControlNetPipelineSlowTests(unittest.TestCase):
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-hed")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.enable_model_cpu_offload()
pipe.set_progress_bar_config(disable=None)
......@@ -796,7 +796,7 @@ class ControlNetPipelineSlowTests(unittest.TestCase):
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-mlsd")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.enable_model_cpu_offload()
pipe.set_progress_bar_config(disable=None)
......@@ -823,7 +823,7 @@ class ControlNetPipelineSlowTests(unittest.TestCase):
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-normal")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.enable_model_cpu_offload()
pipe.set_progress_bar_config(disable=None)
......@@ -850,7 +850,7 @@ class ControlNetPipelineSlowTests(unittest.TestCase):
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-openpose")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.enable_model_cpu_offload()
pipe.set_progress_bar_config(disable=None)
......@@ -877,7 +877,7 @@ class ControlNetPipelineSlowTests(unittest.TestCase):
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-scribble")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.enable_model_cpu_offload()
pipe.set_progress_bar_config(disable=None)
......@@ -904,7 +904,7 @@ class ControlNetPipelineSlowTests(unittest.TestCase):
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-seg")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.enable_model_cpu_offload()
pipe.set_progress_bar_config(disable=None)
......@@ -935,7 +935,7 @@ class ControlNetPipelineSlowTests(unittest.TestCase):
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-seg")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.set_progress_bar_config(disable=None)
pipe.enable_attention_slicing()
......@@ -961,7 +961,7 @@ class ControlNetPipelineSlowTests(unittest.TestCase):
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-canny")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.enable_model_cpu_offload()
pipe.set_progress_bar_config(disable=None)
......@@ -993,7 +993,7 @@ class ControlNetPipelineSlowTests(unittest.TestCase):
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-canny")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config)
pipe.enable_model_cpu_offload()
......@@ -1035,7 +1035,7 @@ class ControlNetPipelineSlowTests(unittest.TestCase):
controlnet = ControlNetModel.from_pretrained("lllyasviel/control_v11e_sd15_shuffle")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.enable_model_cpu_offload()
pipe.set_progress_bar_config(disable=None)
......@@ -1081,7 +1081,9 @@ class StableDiffusionMultiControlNetPipelineSlowTests(unittest.TestCase):
controlnet_pose = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-openpose")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=[controlnet_pose, controlnet_canny]
"stable-diffusion-v1-5/stable-diffusion-v1-5",
safety_checker=None,
controlnet=[controlnet_pose, controlnet_canny],
)
pipe.enable_model_cpu_offload()
pipe.set_progress_bar_config(disable=None)
......
tests/pipelines/controlnet/test_controlnet_img2img.py
View file @ bac8a241
......@@ -407,7 +407,7 @@ class ControlNetImg2ImgPipelineSlowTests(unittest.TestCase):
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-canny")
pipe = StableDiffusionControlNetImg2ImgPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.enable_model_cpu_offload()
pipe.set_progress_bar_config(disable=None)
......
tests/pipelines/controlnet/test_controlnet_inpaint.py
View file @ bac8a241
......@@ -504,7 +504,7 @@ class ControlNetInpaintPipelineSlowTests(unittest.TestCase):
controlnet = ControlNetModel.from_pretrained("lllyasviel/control_v11p_sd15_inpaint")
pipe = StableDiffusionControlNetInpaintPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, controlnet=controlnet
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, controlnet=controlnet
)
pipe.scheduler = DDIMScheduler.from_config(pipe.scheduler.config)
pipe.enable_model_cpu_offload()
......
tests/pipelines/controlnet/test_flax_controlnet.py
View file @ bac8a241
......@@ -41,7 +41,7 @@ class FlaxControlNetPipelineIntegrationTests(unittest.TestCase):
"lllyasviel/sd-controlnet-canny", from_pt=True, dtype=jnp.bfloat16
)
pipe, params = FlaxStableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", controlnet=controlnet, from_pt=True, dtype=jnp.bfloat16
"stable-diffusion-v1-5/stable-diffusion-v1-5", controlnet=controlnet, from_pt=True, dtype=jnp.bfloat16
)
params["controlnet"] = controlnet_params
......@@ -86,7 +86,7 @@ class FlaxControlNetPipelineIntegrationTests(unittest.TestCase):
"lllyasviel/sd-controlnet-openpose", from_pt=True, dtype=jnp.bfloat16
)
pipe, params = FlaxStableDiffusionControlNetPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", controlnet=controlnet, from_pt=True, dtype=jnp.bfloat16
"stable-diffusion-v1-5/stable-diffusion-v1-5", controlnet=controlnet, from_pt=True, dtype=jnp.bfloat16
)
params["controlnet"] = controlnet_params
......
tests/pipelines/ip_adapters/test_ip_adapter_stable_diffusion.py
View file @ bac8a241
......@@ -170,7 +170,10 @@ class IPAdapterSDIntegrationTests(IPAdapterNightlyTestsMixin):
def test_text_to_image(self):
image_encoder = self.get_image_encoder(repo_id="h94/IP-Adapter", subfolder="models/image_encoder")
pipeline = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", image_encoder=image_encoder, safety_checker=None, torch_dtype=self.dtype
"stable-diffusion-v1-5/stable-diffusion-v1-5",
image_encoder=image_encoder,
safety_checker=None,
torch_dtype=self.dtype,
)
pipeline.to(torch_device)
pipeline.load_ip_adapter("h94/IP-Adapter", subfolder="models", weight_name="ip-adapter_sd15.bin")
......@@ -200,7 +203,10 @@ class IPAdapterSDIntegrationTests(IPAdapterNightlyTestsMixin):
def test_image_to_image(self):
image_encoder = self.get_image_encoder(repo_id="h94/IP-Adapter", subfolder="models/image_encoder")
pipeline = StableDiffusionImg2ImgPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", image_encoder=image_encoder, safety_checker=None, torch_dtype=self.dtype
"stable-diffusion-v1-5/stable-diffusion-v1-5",
image_encoder=image_encoder,
safety_checker=None,
torch_dtype=self.dtype,
)
pipeline.to(torch_device)
pipeline.load_ip_adapter("h94/IP-Adapter", subfolder="models", weight_name="ip-adapter_sd15.bin")
......@@ -232,7 +238,10 @@ class IPAdapterSDIntegrationTests(IPAdapterNightlyTestsMixin):
def test_inpainting(self):
image_encoder = self.get_image_encoder(repo_id="h94/IP-Adapter", subfolder="models/image_encoder")
pipeline = StableDiffusionInpaintPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", image_encoder=image_encoder, safety_checker=None, torch_dtype=self.dtype
"stable-diffusion-v1-5/stable-diffusion-v1-5",
image_encoder=image_encoder,
safety_checker=None,
torch_dtype=self.dtype,
)
pipeline.to(torch_device)
pipeline.load_ip_adapter("h94/IP-Adapter", subfolder="models", weight_name="ip-adapter_sd15.bin")
......@@ -260,7 +269,10 @@ class IPAdapterSDIntegrationTests(IPAdapterNightlyTestsMixin):
def test_text_to_image_model_cpu_offload(self):
image_encoder = self.get_image_encoder(repo_id="h94/IP-Adapter", subfolder="models/image_encoder")
pipeline = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", image_encoder=image_encoder, safety_checker=None, torch_dtype=self.dtype
"stable-diffusion-v1-5/stable-diffusion-v1-5",
image_encoder=image_encoder,
safety_checker=None,
torch_dtype=self.dtype,
)
pipeline.load_ip_adapter("h94/IP-Adapter", subfolder="models", weight_name="ip-adapter_sd15.bin")
pipeline.to(torch_device)
......@@ -287,7 +299,10 @@ class IPAdapterSDIntegrationTests(IPAdapterNightlyTestsMixin):
def test_text_to_image_full_face(self):
image_encoder = self.get_image_encoder(repo_id="h94/IP-Adapter", subfolder="models/image_encoder")
pipeline = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", image_encoder=image_encoder, safety_checker=None, torch_dtype=self.dtype
"stable-diffusion-v1-5/stable-diffusion-v1-5",
image_encoder=image_encoder,
safety_checker=None,
torch_dtype=self.dtype,
)
pipeline.to(torch_device)
pipeline.load_ip_adapter("h94/IP-Adapter", subfolder="models", weight_name="ip-adapter-full-face_sd15.bin")
......@@ -304,7 +319,10 @@ class IPAdapterSDIntegrationTests(IPAdapterNightlyTestsMixin):
def test_unload(self):
image_encoder = self.get_image_encoder(repo_id="h94/IP-Adapter", subfolder="models/image_encoder")
pipeline = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", image_encoder=image_encoder, safety_checker=None, torch_dtype=self.dtype
"stable-diffusion-v1-5/stable-diffusion-v1-5",
image_encoder=image_encoder,
safety_checker=None,
torch_dtype=self.dtype,
)
before_processors = [attn_proc.__class__ for attn_proc in pipeline.unet.attn_processors.values()]
pipeline.to(torch_device)
......@@ -323,7 +341,10 @@ class IPAdapterSDIntegrationTests(IPAdapterNightlyTestsMixin):
def test_multi(self):
image_encoder = self.get_image_encoder(repo_id="h94/IP-Adapter", subfolder="models/image_encoder")
pipeline = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", image_encoder=image_encoder, safety_checker=None, torch_dtype=self.dtype
"stable-diffusion-v1-5/stable-diffusion-v1-5",
image_encoder=image_encoder,
safety_checker=None,
torch_dtype=self.dtype,
)
pipeline.to(torch_device)
pipeline.load_ip_adapter(
......@@ -343,7 +364,7 @@ class IPAdapterSDIntegrationTests(IPAdapterNightlyTestsMixin):
def test_text_to_image_face_id(self):
pipeline = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, torch_dtype=self.dtype
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, torch_dtype=self.dtype
)
pipeline.to(torch_device)
pipeline.load_ip_adapter(
......
tests/pipelines/ledits_pp/test_ledits_pp_stable_diffusion.py
View file @ bac8a241
......@@ -224,7 +224,7 @@ class LEditsPPPipelineStableDiffusionSlowTests(unittest.TestCase):
def test_ledits_pp_editing(self):
pipe = LEditsPPPipelineStableDiffusion.from_pretrained(
"Jiali/stable-diffusion-1.5", safety_checker=None, torch_dtype=torch.float16
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None, torch_dtype=torch.float16
)
pipe = pipe.to(torch_device)
pipe.set_progress_bar_config(disable=None)
......
tests/pipelines/pag/test_pag_sd.py
View file @ bac8a241
......@@ -283,7 +283,7 @@ class StableDiffusionPAGPipelineFastTests(
@require_torch_gpu
class StableDiffusionPAGPipelineIntegrationTests(unittest.TestCase):
pipeline_class = StableDiffusionPAGPipeline
repo_id = "Jiali/stable-diffusion-1.5"
repo_id = "stable-diffusion-v1-5/stable-diffusion-v1-5"
def setUp(self):
super().setUp()
......
tests/pipelines/semantic_stable_diffusion/test_semantic_diffusion.py
View file @ bac8a241
......@@ -287,7 +287,7 @@ class SemanticDiffusionPipelineIntegrationTests(unittest.TestCase):
def test_positive_guidance(self):
torch_device = "cuda"
pipe = StableDiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5")
pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
pipe = pipe.to(torch_device)
pipe.set_progress_bar_config(disable=None)
......@@ -370,7 +370,7 @@ class SemanticDiffusionPipelineIntegrationTests(unittest.TestCase):
def test_negative_guidance(self):
torch_device = "cuda"
pipe = StableDiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5")
pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
pipe = pipe.to(torch_device)
pipe.set_progress_bar_config(disable=None)
......@@ -453,7 +453,7 @@ class SemanticDiffusionPipelineIntegrationTests(unittest.TestCase):
def test_multi_cond_guidance(self):
torch_device = "cuda"
pipe = StableDiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5")
pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
pipe = pipe.to(torch_device)
pipe.set_progress_bar_config(disable=None)
......@@ -536,7 +536,9 @@ class SemanticDiffusionPipelineIntegrationTests(unittest.TestCase):
def test_guidance_fp16(self):
torch_device = "cuda"
pipe = StableDiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5", torch_dtype=torch.float16)
pipe = StableDiffusionPipeline.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.float16
)
pipe = pipe.to(torch_device)
pipe.set_progress_bar_config(disable=None)
......
tests/pipelines/stable_diffusion/test_onnx_stable_diffusion.py
View file @ bac8a241
......@@ -250,10 +250,10 @@ class OnnxStableDiffusionPipelineIntegrationTests(unittest.TestCase):
def test_inference_ddim(self):
ddim_scheduler = DDIMScheduler.from_pretrained(
"Jiali/stable-diffusion-1.5", subfolder="scheduler", revision="onnx"
"stable-diffusion-v1-5/stable-diffusion-v1-5", subfolder="scheduler", revision="onnx"
)
sd_pipe = OnnxStableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5",
"stable-diffusion-v1-5/stable-diffusion-v1-5",
revision="onnx",
scheduler=ddim_scheduler,
safety_checker=None,
......@@ -276,10 +276,10 @@ class OnnxStableDiffusionPipelineIntegrationTests(unittest.TestCase):
def test_inference_k_lms(self):
lms_scheduler = LMSDiscreteScheduler.from_pretrained(
"Jiali/stable-diffusion-1.5", subfolder="scheduler", revision="onnx"
"stable-diffusion-v1-5/stable-diffusion-v1-5", subfolder="scheduler", revision="onnx"
)
sd_pipe = OnnxStableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5",
"stable-diffusion-v1-5/stable-diffusion-v1-5",
revision="onnx",
scheduler=lms_scheduler,
safety_checker=None,
......@@ -327,7 +327,7 @@ class OnnxStableDiffusionPipelineIntegrationTests(unittest.TestCase):
test_callback_fn.has_been_called = False
pipe = OnnxStableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5",
"stable-diffusion-v1-5/stable-diffusion-v1-5",
revision="onnx",
safety_checker=None,
feature_extractor=None,
......@@ -352,7 +352,7 @@ class OnnxStableDiffusionPipelineIntegrationTests(unittest.TestCase):
def test_stable_diffusion_no_safety_checker(self):
pipe = OnnxStableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5",
"stable-diffusion-v1-5/stable-diffusion-v1-5",
revision="onnx",
safety_checker=None,
feature_extractor=None,
......
tests/pipelines/stable_diffusion/test_onnx_stable_diffusion_img2img.py
View file @ bac8a241
......@@ -210,10 +210,10 @@ class OnnxStableDiffusionImg2ImgPipelineIntegrationTests(unittest.TestCase):
)
init_image = init_image.resize((768, 512))
lms_scheduler = LMSDiscreteScheduler.from_pretrained(
"Jiali/stable-diffusion-1.5", subfolder="scheduler", revision="onnx"
"stable-diffusion-v1-5/stable-diffusion-v1-5", subfolder="scheduler", revision="onnx"
)
pipe = OnnxStableDiffusionImg2ImgPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5",
"stable-diffusion-v1-5/stable-diffusion-v1-5",
revision="onnx",
scheduler=lms_scheduler,
safety_checker=None,
......
tests/pipelines/stable_diffusion/test_stable_diffusion.py
View file @ bac8a241
......@@ -1332,7 +1332,7 @@ class StableDiffusionPipelineCkptTests(unittest.TestCase):
def test_download_from_hub(self):
ckpt_paths = [
"https://huggingface.co/Jiali/stable-diffusion-1.5/blob/main/v1-5-pruned-emaonly.safetensors",
"https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5/blob/main/v1-5-pruned-emaonly.safetensors",
"https://huggingface.co/WarriorMama777/OrangeMixs/blob/main/Models/AbyssOrangeMix/AbyssOrangeMix.safetensors",
]
......@@ -1346,8 +1346,10 @@ class StableDiffusionPipelineCkptTests(unittest.TestCase):
assert image_out.shape == (512, 512, 3)
def test_download_local(self):
ckpt_filename = hf_hub_download("Jiali/stable-diffusion-1.5", filename="v1-5-pruned-emaonly.safetensors")
config_filename = hf_hub_download("Jiali/stable-diffusion-1.5", filename="v1-inference.yaml")
ckpt_filename = hf_hub_download(
"stable-diffusion-v1-5/stable-diffusion-v1-5", filename="v1-5-pruned-emaonly.safetensors"
)
config_filename = hf_hub_download("stable-diffusion-v1-5/stable-diffusion-v1-5", filename="v1-inference.yaml")
pipe = StableDiffusionPipeline.from_single_file(
ckpt_filename, config_files={"v1": config_filename}, torch_dtype=torch.float16
......@@ -1402,7 +1404,9 @@ class StableDiffusionPipelineNightlyTests(unittest.TestCase):
assert max_diff < 1e-3
def test_stable_diffusion_1_5_pndm(self):
sd_pipe = StableDiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5").to(torch_device)
sd_pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5").to(
torch_device
)
sd_pipe.set_progress_bar_config(disable=None)
inputs = self.get_inputs(torch_device)
......@@ -1483,9 +1487,9 @@ class StableDiffusionPipelineDeviceMapTests(unittest.TestCase):
return inputs
def get_pipeline_output_without_device_map(self):
sd_pipe = StableDiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5", torch_dtype=torch.float16).to(
torch_device
)
sd_pipe = StableDiffusionPipeline.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.float16
).to(torch_device)
sd_pipe.set_progress_bar_config(disable=True)
inputs = self.get_inputs()
no_device_map_image = sd_pipe(**inputs).images
......@@ -1498,7 +1502,7 @@ class StableDiffusionPipelineDeviceMapTests(unittest.TestCase):
no_device_map_image = self.get_pipeline_output_without_device_map()
sd_pipe_with_device_map = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", device_map="balanced", torch_dtype=torch.float16
"stable-diffusion-v1-5/stable-diffusion-v1-5", device_map="balanced", torch_dtype=torch.float16
)
sd_pipe_with_device_map.set_progress_bar_config(disable=True)
inputs = self.get_inputs()
......@@ -1509,7 +1513,7 @@ class StableDiffusionPipelineDeviceMapTests(unittest.TestCase):
def test_components_put_in_right_devices(self):
sd_pipe_with_device_map = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", device_map="balanced", torch_dtype=torch.float16
"stable-diffusion-v1-5/stable-diffusion-v1-5", device_map="balanced", torch_dtype=torch.float16
)
assert len(set(sd_pipe_with_device_map.hf_device_map.values())) >= 2
......@@ -1518,7 +1522,7 @@ class StableDiffusionPipelineDeviceMapTests(unittest.TestCase):
no_device_map_image = self.get_pipeline_output_without_device_map()
sd_pipe_with_device_map = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5",
"stable-diffusion-v1-5/stable-diffusion-v1-5",
device_map="balanced",
max_memory={0: "1GB", 1: "1GB"},
torch_dtype=torch.float16,
......@@ -1532,7 +1536,7 @@ class StableDiffusionPipelineDeviceMapTests(unittest.TestCase):
def test_reset_device_map(self):
sd_pipe_with_device_map = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", device_map="balanced", torch_dtype=torch.float16
"stable-diffusion-v1-5/stable-diffusion-v1-5", device_map="balanced", torch_dtype=torch.float16
)
sd_pipe_with_device_map.reset_device_map()
......@@ -1544,7 +1548,7 @@ class StableDiffusionPipelineDeviceMapTests(unittest.TestCase):
def test_reset_device_map_to(self):
sd_pipe_with_device_map = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", device_map="balanced", torch_dtype=torch.float16
"stable-diffusion-v1-5/stable-diffusion-v1-5", device_map="balanced", torch_dtype=torch.float16
)
sd_pipe_with_device_map.reset_device_map()
......@@ -1556,7 +1560,7 @@ class StableDiffusionPipelineDeviceMapTests(unittest.TestCase):
def test_reset_device_map_enable_model_cpu_offload(self):
sd_pipe_with_device_map = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", device_map="balanced", torch_dtype=torch.float16
"stable-diffusion-v1-5/stable-diffusion-v1-5", device_map="balanced", torch_dtype=torch.float16
)
sd_pipe_with_device_map.reset_device_map()
......@@ -1568,7 +1572,7 @@ class StableDiffusionPipelineDeviceMapTests(unittest.TestCase):
def test_reset_device_map_enable_sequential_cpu_offload(self):
sd_pipe_with_device_map = StableDiffusionPipeline.from_pretrained(
"Jiali/stable-diffusion-1.5", device_map="balanced", torch_dtype=torch.float16
"stable-diffusion-v1-5/stable-diffusion-v1-5", device_map="balanced", torch_dtype=torch.float16
)
sd_pipe_with_device_map.reset_device_map()
......
tests/pipelines/stable_diffusion/test_stable_diffusion_img2img.py
View file @ bac8a241
......@@ -566,7 +566,7 @@ class StableDiffusionImg2ImgPipelineSlowTests(unittest.TestCase):
assert module.device == torch.device("cpu")
def test_img2img_2nd_order(self):
sd_pipe = StableDiffusionImg2ImgPipeline.from_pretrained("Jiali/stable-diffusion-1.5")
sd_pipe = StableDiffusionImg2ImgPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
sd_pipe.scheduler = HeunDiscreteScheduler.from_config(sd_pipe.scheduler.config)
sd_pipe.to(torch_device)
sd_pipe.set_progress_bar_config(disable=None)
......@@ -630,7 +630,7 @@ class StableDiffusionImg2ImgPipelineSlowTests(unittest.TestCase):
assert np.abs(image_slice.flatten() - expected_slice).max() < 5e-3
def test_img2img_safety_checker_works(self):
sd_pipe = StableDiffusionImg2ImgPipeline.from_pretrained("Jiali/stable-diffusion-1.5")
sd_pipe = StableDiffusionImg2ImgPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
sd_pipe.to(torch_device)
sd_pipe.set_progress_bar_config(disable=None)
......@@ -686,7 +686,7 @@ class StableDiffusionImg2ImgPipelineNightlyTests(unittest.TestCase):
return inputs
def test_img2img_pndm(self):
sd_pipe = StableDiffusionImg2ImgPipeline.from_pretrained("Jiali/stable-diffusion-1.5")
sd_pipe = StableDiffusionImg2ImgPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
sd_pipe.to(torch_device)
sd_pipe.set_progress_bar_config(disable=None)
......@@ -701,7 +701,7 @@ class StableDiffusionImg2ImgPipelineNightlyTests(unittest.TestCase):
assert max_diff < 1e-3
def test_img2img_ddim(self):
sd_pipe = StableDiffusionImg2ImgPipeline.from_pretrained("Jiali/stable-diffusion-1.5")
sd_pipe = StableDiffusionImg2ImgPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
sd_pipe.scheduler = DDIMScheduler.from_config(sd_pipe.scheduler.config)
sd_pipe.to(torch_device)
sd_pipe.set_progress_bar_config(disable=None)
......@@ -717,7 +717,7 @@ class StableDiffusionImg2ImgPipelineNightlyTests(unittest.TestCase):
assert max_diff < 1e-3
def test_img2img_lms(self):
sd_pipe = StableDiffusionImg2ImgPipeline.from_pretrained("Jiali/stable-diffusion-1.5")
sd_pipe = StableDiffusionImg2ImgPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
sd_pipe.scheduler = LMSDiscreteScheduler.from_config(sd_pipe.scheduler.config)
sd_pipe.to(torch_device)
sd_pipe.set_progress_bar_config(disable=None)
......@@ -733,7 +733,7 @@ class StableDiffusionImg2ImgPipelineNightlyTests(unittest.TestCase):
assert max_diff < 1e-3
def test_img2img_dpm(self):
sd_pipe = StableDiffusionImg2ImgPipeline.from_pretrained("Jiali/stable-diffusion-1.5")
sd_pipe = StableDiffusionImg2ImgPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
sd_pipe.scheduler = DPMSolverMultistepScheduler.from_config(sd_pipe.scheduler.config)
sd_pipe.to(torch_device)
sd_pipe.set_progress_bar_config(disable=None)
......
tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py
View file @ bac8a241
......@@ -767,7 +767,9 @@ class StableDiffusionInpaintPipelineSlowTests(unittest.TestCase):
assert np.abs(expected_slice - image_slice).max() < 1e-3
def test_stable_diffusion_simple_inpaint_ddim(self):
pipe = StableDiffusionInpaintPipeline.from_pretrained("Jiali/stable-diffusion-1.5", safety_checker=None)
pipe = StableDiffusionInpaintPipeline.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None
)
pipe.unet.set_default_attn_processor()
pipe.to(torch_device)
pipe.set_progress_bar_config(disable=None)
......@@ -973,7 +975,9 @@ class StableDiffusionInpaintPipelineAsymmetricAutoencoderKLSlowTests(unittest.Te
def test_stable_diffusion_simple_inpaint_ddim(self):
vae = AsymmetricAutoencoderKL.from_pretrained("cross-attention/asymmetric-autoencoder-kl-x-1-5")
pipe = StableDiffusionInpaintPipeline.from_pretrained("Jiali/stable-diffusion-1.5", safety_checker=None)
pipe = StableDiffusionInpaintPipeline.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None
)
pipe.vae = vae
pipe.unet.set_default_attn_processor()
pipe.to(torch_device)
......
tests/pipelines/stable_diffusion_adapter/test_stable_diffusion_adapter.py
View file @ bac8a241
......@@ -609,7 +609,7 @@ class StableDiffusionAdapterPipelineSlowTests(unittest.TestCase):
def test_stable_diffusion_adapter_depth_sd_v15(self):
adapter_model = "TencentARC/t2iadapter_depth_sd15v2"
sd_model = "Jiali/stable-diffusion-1.5"
sd_model = "stable-diffusion-v1-5/stable-diffusion-v1-5"
prompt = "desk"
image_url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/t2i_adapter/desk_depth.png"
input_channels = 3
......@@ -636,7 +636,7 @@ class StableDiffusionAdapterPipelineSlowTests(unittest.TestCase):
def test_stable_diffusion_adapter_zoedepth_sd_v15(self):
adapter_model = "TencentARC/t2iadapter_zoedepth_sd15v1"
sd_model = "Jiali/stable-diffusion-1.5"
sd_model = "stable-diffusion-v1-5/stable-diffusion-v1-5"
prompt = "motorcycle"
image_url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/t2i_adapter/motorcycle.png"
input_channels = 3
......@@ -660,7 +660,7 @@ class StableDiffusionAdapterPipelineSlowTests(unittest.TestCase):
def test_stable_diffusion_adapter_canny_sd_v15(self):
adapter_model = "TencentARC/t2iadapter_canny_sd15v2"
sd_model = "Jiali/stable-diffusion-1.5"
sd_model = "stable-diffusion-v1-5/stable-diffusion-v1-5"
prompt = "toy"
image_url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/t2i_adapter/toy_canny.png"
input_channels = 1
......@@ -688,7 +688,7 @@ class StableDiffusionAdapterPipelineSlowTests(unittest.TestCase):
def test_stable_diffusion_adapter_sketch_sd15(self):
adapter_model = "TencentARC/t2iadapter_sketch_sd15v2"
sd_model = "Jiali/stable-diffusion-1.5"
sd_model = "stable-diffusion-v1-5/stable-diffusion-v1-5"
prompt = "cat"
image_url = (
"https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/t2i_adapter/edge.png"
......
tests/pipelines/stable_diffusion_safe/test_safe_diffusion.py
View file @ bac8a241
......@@ -277,7 +277,9 @@ class SafeDiffusionPipelineIntegrationTests(unittest.TestCase):
torch.cuda.empty_cache()
def test_harm_safe_stable_diffusion(self):
sd_pipe = StableDiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5", safety_checker=None)
sd_pipe = StableDiffusionPipeline.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None
)
sd_pipe.scheduler = LMSDiscreteScheduler.from_config(sd_pipe.scheduler.config)
sd_pipe = sd_pipe.to(torch_device)
sd_pipe.set_progress_bar_config(disable=None)
......@@ -338,7 +340,9 @@ class SafeDiffusionPipelineIntegrationTests(unittest.TestCase):
assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2
def test_nudity_safe_stable_diffusion(self):
sd_pipe = StableDiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5", safety_checker=None)
sd_pipe = StableDiffusionPipeline.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", safety_checker=None
)
sd_pipe.scheduler = LMSDiscreteScheduler.from_config(sd_pipe.scheduler.config)
sd_pipe = sd_pipe.to(torch_device)
sd_pipe.set_progress_bar_config(disable=None)
......@@ -392,7 +396,7 @@ class SafeDiffusionPipelineIntegrationTests(unittest.TestCase):
assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2
def test_nudity_safetychecker_safe_stable_diffusion(self):
sd_pipe = StableDiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5")
sd_pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
sd_pipe = sd_pipe.to(torch_device)
sd_pipe.set_progress_bar_config(disable=None)
......
tests/pipelines/test_pipelines_auto.py
View file @ bac8a241
......@@ -40,7 +40,7 @@ from diffusers.utils.testing_utils import slow
PRETRAINED_MODEL_REPO_MAPPING = OrderedDict(
[
("stable-diffusion", "Jiali/stable-diffusion-1.5"),
("stable-diffusion", "stable-diffusion-v1-5/stable-diffusion-v1-5"),
("if", "DeepFloyd/IF-I-XL-v1.0"),
("kandinsky", "kandinsky-community/kandinsky-2-1"),
("kandinsky22", "kandinsky-community/kandinsky-2-2-decoder"),
......@@ -539,7 +539,7 @@ class AutoPipelineIntegrationTest(unittest.TestCase):
def test_controlnet(self):
# test from_pretrained
model_repo = "Jiali/stable-diffusion-1.5"
model_repo = "stable-diffusion-v1-5/stable-diffusion-v1-5"
controlnet_repo = "lllyasviel/sd-controlnet-canny"
controlnet = ControlNetModel.from_pretrained(controlnet_repo, torch_dtype=torch.float16)
......
tests/pipelines/text_to_video_synthesis/test_text_to_video_zero.py
View file @ bac8a241
......@@ -40,7 +40,7 @@ class TextToVideoZeroPipelineSlowTests(unittest.TestCase):
torch.cuda.empty_cache()
def test_full_model(self):
model_id = "Jiali/stable-diffusion-1.5"
model_id = "stable-diffusion-v1-5/stable-diffusion-v1-5"
pipe = TextToVideoZeroPipeline.from_pretrained(model_id, torch_dtype=torch.float16).to("cuda")
pipe.scheduler = DDIMScheduler.from_config(pipe.scheduler.config)
generator = torch.Generator(device="cuda").manual_seed(0)
......
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